Sample records for model-based decision support

  1. Decision Support:Decision Support: Decision AnalysisDecision Analysis

    E-Print Network [OSTI]

    Bohanec, Marko

    -Making under Risk ∑ Expected Value ∑ Sensitivity Analysis Decision Analysis Decision Analysis: Applied Decision Decision-Making Process Source: Decision Analysis ≠ A Tool to Deal with Uncertainty, http Succeed Fail Decision Trees OR/MS ∑ Multi-Criteria Optimisation ∑ Risk Analysis and Simulation ∑ Bayesian

  2. Simulation Supported Decision Making

    E-Print Network [OSTI]

    .S. Navy Nuclear Program · Decades of dynamic operations of hundreds of nuclear power plants withoutSimulation Supported Decision Making Gene Allen Naval Surface Warfare Center Carderock Division SI: TO PASS ON WHAT I KNOW on SIMULATION · CAREER FOCUS: HOW TO USE COMPUTERS TO DO HELP MAKE BETTER DECISIONS

  3. Decision Support and Risk Management

    E-Print Network [OSTI]

    and emergency management officials during the planning, incident management preparedness, and response phasesDecision Support and Risk Management CVMDM: Community Vaccination and Mass Dispensing Model What and the performance of prophylaxis supply logistics and PODs. Decision and Information Sciences Division Decision

  4. Decision Support and Risk Management

    E-Print Network [OSTI]

    and Information Sciences Division Decision Support and Risk Management Group #12;A U.S. Department of Energy to analyze many failure scenarios over the past 5 years. Restore's data library of applications was developed infrastructures. A new user with as little as 4­6 hours of training can use the tool to modify an existing data

  5. Computer-Aided Decision Support

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    intelligence technology to help teams achieve remarkable group collaboration and enhance organizational brainstorming and decision-making. The electronic decision analysis...

  6. Puerto Rico Disaster Decision Support Tool

    E-Print Network [OSTI]

    Firestone, Jeremy

    Puerto Rico Disaster Decision Support Tool: An innovative step towards community resilience Support Tool Pilot Internet-based scalable mapping server Emergency management geo-referenced information for all municipalities in Puerto Rico #12;Disaster Decision Support Tool (DDST) What is a GIS

  7. Reliable Distributed Computing for Decision Support Systems

    E-Print Network [OSTI]

    Bargiela, Andrzej

    Reliable Distributed Computing for Decision Support Systems Taha Osman, Andrzej Bargiela Department of application tasks on the currently avail- able computing nodes. Distributed Systems Reliability Due decision-support systems such as water distribution net- works, involving hundreds or even thousands

  8. Decision Support for Choice of Security

    E-Print Network [OSTI]

    Langseth, Helge

    Decision Support for Choice of Security Solution The Aspect-Oriented Risk Driven Development (AORDD decisions. (4) RDD annotation rules for security risk and security solution variable estimation. (5) The AORDD security solution trade-o§ analysis and trade-o§ tool BBN topology. (6) Rule set for how

  9. Name, title of the presentation Decision Support

    E-Print Network [OSTI]

    -off Analysis ∑ Trade-off tool BBN topology ∑ Aggregate information as input to the trade-off tool ≠ Trust aggregation schema #12;9 Security Solution Trade-Off Analysis Risk-driven analysis Trade-off analysis best1 Name, title of the presentation Decision Support for Choice of Security Solution: The AORDD

  10. Decision support tools for policy and planning

    SciTech Connect (OSTI)

    Jacyk, P.; Schultz, D.; Spangenberg, L.

    1995-07-01T23:59:59.000Z

    A decision support system (DSS) is being developed at the Radioactive Liquid Waste Treatment Facility, Los Alamos National Laboratory (LANL). The DSS will be used to evaluate alternatives for improving LANL`s existing central radioactive waste water treatment plant and to evaluate new site-wide liquid waste treatment schemes that are required in order to handle the diverse waste streams produced at LANL. The decision support system consists of interacting modules that perform the following tasks: rigorous process simulation, configuration management, performance analysis, cost analysis, risk analysis, environmental impact assessment, transportation modeling, and local, state, and federal regulation compliance checking. Uncertainty handling techniques are used with these modules and also with a decision synthesis module which combines results from the modules listed above. We believe the DSS being developed can be applied to almost any other industrial water treatment facility with little modification because in most situations the waste streams are less complex, fewer regulations apply, and the political environment is simpler. The techniques being developed are also generally applicable to policy and planning decision support systems in the chemical process industry.

  11. Transportation Decision Support Systems Oak Ridge National Laboratory

    E-Print Network [OSTI]

    Transportation Decision Support Systems Oak Ridge National Laboratory managed by UT-Battelle, LLC Passenger Flows Supply Chain Efficiency Transportation: Energy Environment Safety Security Vehicle and implementation of automated transportation decision support models for the scheduling and routing of cargo

  12. A Decision Support System for chemical incident information

    E-Print Network [OSTI]

    Sharma, Gaurav

    2002-01-01T23:59:59.000Z

    Decision Support Systems (DSS) find extensive applications in business enabling industry managers to make intelligent risk decisions. Although widely used in business applications, the application of DSS to Process Safety Management has been lacking...

  13. "LIFE OF FIELD" DEVELOPMENT DECISIONS, DOE-SUPPORTED SIMULATION SOFTWARE

    E-Print Network [OSTI]

    Thompson, Anne

    , Polymer flooding, ASP or lower concentration flooding, and CO2). WHO SHOULD ATTEND Petroleum Engineers"LIFE OF FIELD" DEVELOPMENT DECISIONS, DOE-SUPPORTED SIMULATION SOFTWARE AS A DECISION SUPPORT TOOL, and ultimately enhanced oil recovery (EOR) processes. DOE-developed simulation software packages

  14. In: 8TH IMACS Congress MODSIM 09, Cairns, Australia, 2009 Towards model integration and model-based decision

    E-Print Network [OSTI]

    Cengarle, MarŪa Victoria

    in order to achieve certain goals ≠ avoidance of environmental damage, sustainabl-based decision support for environmental applications Struss, P. 1 1 Tech. Univ. Munich, Comp. Sci. Dept that can help decision making about environmental problems should be delivered in the form of executable

  15. MIS 383N DECISION SUPPORT MODELING SPRING 2012

    E-Print Network [OSTI]

    Ghosh, Joydeep

    MIS 383N DECISION SUPPORT MODELING SPRING 2012 TT 12:30-2:00, GSB 3.106 Professor James S. Dyer. Materials Required: The primary textbook is: (C&R) Clemen, R. and Reilly, T., Making Hard Decisions, South Grove, CA: Duxbury Press (ISBN 0-324-66244-0) (TM) Titman, T. and J. D. Martin. 2011, 2 nd Edition

  16. DECISION SUPPORT SYSTEM FOR MANAGEMENT OF WATER SOURCES

    E-Print Network [OSTI]

    Bohanec, Marko

    DECISION SUPPORT SYSTEM FOR MANAGEMENT OF WATER SOURCES Nejc Trdin1, 2 , Marko Bohanec1 , Mitja.bohanec}@ijs.si, mitja.janza@geo-zs.si ABSTRACT Meeting the quality criteria for drinking water is one of the areas which of data collected while monitoring water adequacy, an expert carries a large burden and also his decisions

  17. Scientia : An end user development environment for decision support systems/

    E-Print Network [OSTI]

    Sims, Clayton Tyler

    2009-01-01T23:59:59.000Z

    This thesis describes an end user programming environment that allows non-programmers to create decision support protocols for use on electronic devices. User centered design techniques were followed to identify the ...

  18. Automation and Accountability in Decision Support System Interface Design

    E-Print Network [OSTI]

    Cummings, M. L.

    2006-01-01T23:59:59.000Z

    When the human element is introduced into decision support system design, entirely new layers of social and ethical issues emerge but are not always recognized as such. This paper discusses those ethical and social impact ...

  19. Robust Decision-Support Tools for Airport Surface Traffic

    E-Print Network [OSTI]

    Carr, Francis R.

    Forecasts of departure demand are one of the driving inputs to tactical decision-support tools (DSTs) for airport surface traffic. While there are well-known results on average- or worst-case forecast uncertainty, it is ...

  20. Robust decision-support tools for airport surface traffic

    E-Print Network [OSTI]

    Carr, Francis R. (Francis Russell), 1976-

    2004-01-01T23:59:59.000Z

    Forecasts of departure demand are one of the driving inputs to tactical decision-support tools (DSTs) for airport surface traffic. While there are well-known results on average- or worst-case forecast uncertainty, it is ...

  1. Cybersecurity Games and Investments: A Decision Support Approach

    E-Print Network [OSTI]

    Malacaria, Pasquale

    Cybersecurity Games and Investments: A Decision Support Approach Emmanouil Panaousis1 , Andrew or inefficient spending on cybersecurity. To this end, we first model the cybersecurity environment multi-objective, multi- ple choice Knapsack to determine the optimal cybersecurity investment. Our

  2. Projection and Reaction for Decision Support in Refineries: Combining Multiple Theories

    E-Print Network [OSTI]

    Krebsbach, Kurt D.

    Projection and Reaction for Decision Support in Refineries: Combining Multiple Theories Kurt D system to provide decision support for refinery operations personnel (Krebsbach & Musliner 1997; Musliner to provide sufficiently flexible decision support in complex environments. Background: Refinery Control

  3. Sustainable Transportation Decision-Making: Spatial Decision Support Systems (SDSS) and Total Cost Analysis

    E-Print Network [OSTI]

    Kim, Hwan Yong

    2013-04-04T23:59:59.000Z

    the TUT research generated diverse variables and created possible implementations of spatial decision support system (SDSS), the methodology still demands improvement. The current method has been developed to create suitable routes but is not designed...

  4. SciTech Connect: Energy Signal Tool for Decision Support in Building...

    Office of Scientific and Technical Information (OSTI)

    Energy Signal Tool for Decision Support in Building Energy Systems Citation Details In-Document Search Title: Energy Signal Tool for Decision Support in Building Energy Systems A...

  5. Transportation Center Seminar "Electric Vehicle Recharging: Decision Support

    E-Print Network [OSTI]

    Bustamante, Fabi√°n E.

    Transportation Center Seminar "Electric Vehicle Recharging: Decision Support Tools for Drivers Conference Center Refreshments available at 3:30 pm Abstract: Plug-in electric vehicles (PEVs) have become a practical and affordable alternative in recent years to conventional gasoline-powered vehicles

  6. GLIDES PROJECT GuideLines Into DEcision Support

    E-Print Network [OSTI]

    Lee, Daeyeol

    GLIDES PROJECT GuideLines Into DEcision Support sponsored by The Agency for Healthcare Research;Topics · GLIDES 4-level "stack" ­ NarraAve guideline with quality, implementabilityLon, and local coding/linking ­ To Formal Quality Measure via QDM, eMeasure · BRIDGE

  7. KNOWLEDGE-BASED DECISION SUPPORT IN OIL WELL DRILLING

    E-Print Network [OSTI]

    Aamodt, Agnar

    for capturing and reusing experience and best practice in industrial operations5-7 . CBR as a technology has nowKNOWLEDGE-BASED DECISION SUPPORT IN OIL WELL DRILLING Combining general and case-specific knowledge of Computer and Information Science. agnar.aamodt@idi.ntnu.no Abstract: Oil well drilling is a complex process

  8. A Decision Support System for Optimum Use of Fertilizers

    SciTech Connect (OSTI)

    Hoskinson, Reed Louis; Hess, John Richard; Fink, Raymond Keith

    1999-07-01T23:59:59.000Z

    The Decision Support System for Agriculture (DSS4Ag) is an expert system being developed by the Site-Specific Technologies for Agriculture (SST4Ag) precision farming research project at the INEEL. DSS4Ag uses state-of-the-art artificial intelligence and computer science technologies to make spatially variable, site-specific, economically optimum decisions on fertilizer use. The DSS4Ag has an open architecture that allows for external input and addition of new requirements and integrates its results with existing agricultural systemsí infrastructures. The DSS4Ag reflects a paradigm shift in the information revolution in agriculture that is precision farming. We depict this information revolution in agriculture as an historic trend in the agricultural decision-making process.

  9. A Decision Support System for Optimum Use of Fertilizers

    SciTech Connect (OSTI)

    R. L. Hoskinson; J. R. Hess; R. K. Fink

    1999-07-01T23:59:59.000Z

    The Decision Support System for Agriculture (DSS4Ag) is an expert system being developed by the Site-Specific Technologies for Agriculture (SST4Ag) precision farming research project at the INEEL. DSS4Ag uses state-of-the-art artificial intelligence and computer science technologies to make spatially variable, site-specific, economically optimum decisions on fertilizer use. The DSS4Ag has an open architecture that allows for external input and addition of new requirements and integrates its results with existing agricultural systems' infrastructures. The DSS4Ag reflects a paradigm shift in the information revolution in agriculture that is precision farming. We depict this information revolution in agriculture as an historic trend in the agricultural decision-making process.

  10. North Slope Decision Support for Water Resource Planning and Management

    SciTech Connect (OSTI)

    Schnabel, William; Brumbelow, Kelly

    2013-03-31T23:59:59.000Z

    The objective of this project was to enhance the water resource decision-making process with respect to oil and gas exploration/production activities on Alaskaís North Slope. To this end, a web-based software tool was developed to allow stakeholders to assemble, evaluate, and communicate relevant information between and amongst themselves. The software, termed North Slope Decision Support System (NSDSS), is a visually-referenced database that provides a platform for running complex natural system, planning, and optimization models. The NSDSS design was based upon community input garnered during a series of stakeholder workshops, and the end product software is freely available to all stakeholders via the project website. The tool now resides on servers hosted by the UAF Water and Environmental Research Center, and will remain accessible and free-of-charge for all interested stakeholders. The development of the tool fostered new advances in the area of data evaluation and decision support technologies, and the finished product is envisioned to enhance water resource planning activities on Alaskaís North Slope.

  11. A DECISION SUPPORT SYSTEM FOR SOIL PRODUCTIVITY AND EROSION POLK COUNTY, NEBRASKA

    E-Print Network [OSTI]

    Reichenbach, Stephen E.

    A DECISION SUPPORT SYSTEM FOR SOIL PRODUCTIVITY AND EROSION IN POLK COUNTY, NEBRASKA A.E. Gadem1-based decision-support systems are powerful, new tools for assessing inherent soil productivity and potential conservation strategies to reduce soil-loss in areas with high potential erosion rates. These decision support

  12. weber, evans, moser, and newell Air Traffic Management Decision Support During Convective Weather

    E-Print Network [OSTI]

    Reuter, Martin

    · weber, evans, moser, and newell Air Traffic Management Decision Support During Convective WeatherTraffic Management Decision Support During Convective Weather Mark E. Weber, James E. Evans, William R. Moser algorithm. #12;· weber, evans, moser, and newell Air Traffic Management Decision Support During Convective

  13. REVIEW ARTICLE Models to support cropping plan and crop rotation decisions.

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    . To support farmers and efficiently allocate scarce resources, decision support models are developed. DecisionREVIEW ARTICLE Models to support cropping plan and crop rotation decisions. A review J√©r√īme Dury /Published online: 8 July 2011 # INRA and Springer Science+Business Media B.V. 2011 Abstract Farmers must

  14. Critical infrastructure protection decision support system decision model : overview and quick-start user's guide.

    SciTech Connect (OSTI)

    Samsa, M.; Van Kuiken, J.; Jusko, M.; Decision and Information Sciences

    2008-12-01T23:59:59.000Z

    The Critical Infrastructure Protection Decision Support System Decision Model (CIPDSS-DM) is a useful tool for comparing the effectiveness of alternative risk-mitigation strategies on the basis of CIPDSS consequence scenarios. The model is designed to assist analysts and policy makers in evaluating and selecting the most effective risk-mitigation strategies, as affected by the importance assigned to various impact measures and the likelihood of an incident. A typical CIPDSS-DM decision map plots the relative preference of alternative risk-mitigation options versus the annual probability of an undesired incident occurring once during the protective life of the investment, assumed to be 20 years. The model also enables other types of comparisons, including a decision map that isolates a selected impact variable and displays the relative preference for the options of interest--parameterized on the basis of the contribution of the isolated variable to total impact, as well as the likelihood of the incident. Satisfaction/regret analysis further assists the analyst or policy maker in evaluating the confidence with which one option can be selected over another.

  15. Model-based design of an ultra high performance concrete support structure for a wind turbine

    E-Print Network [OSTI]

    Wang, Zheng, M. Eng. Massachusetts Institute of Technology

    2007-01-01T23:59:59.000Z

    A support tower is the main structure which would support rotor, power transmission and control systems, and elevates the rotating blades above the earth boundary layer. A successful design should ensure safe, efficient ...

  16. Making Risk Models Operational for Situational Awareness and Decision Support

    SciTech Connect (OSTI)

    Paulson, Patrick R.; Coles, Garill A.; Shoemaker, Steven V.

    2012-06-12T23:59:59.000Z

    Modernization of nuclear power operations control systems, in particular the move to digital control systems, creates an opportunity to modernize existing legacy infrastructure and extend plant life. We describe here decision support tools that allow the assessment of different facets of risk and support the optimization of available resources to reduce risk as plants are upgraded and maintained. This methodology could become an integrated part of the design review process and a part of the operations management systems. The methodology can be applied to the design of new reactors such as small nuclear reactors (SMR), and be helpful in assessing the risks of different configurations of the reactors. Our tool provides a low cost evaluation of alternative configurations and provides an expanded safety analysis by considering scenarios while early in the implementation cycle where cost impacts can be minimized. The effects of failures can be modeled and thoroughly vetted to understand their potential impact on risk. The process and tools presented here allow for an integrated assessment of risk by supporting traditional defense in depth approaches while taking into consideration the insertion of new digital instrument and control systems.

  17. Decision support systems and methods for complex networks

    DOE Patents [OSTI]

    Huang, Zhenyu (Richland, WA); Wong, Pak Chung (Richland, WA); Ma, Jian (Richland, WA); Mackey, Patrick S (Richland, WA); Chen, Yousu (Richland, WA); Schneider, Kevin P (Seattle, WA)

    2012-02-28T23:59:59.000Z

    Methods and systems for automated decision support in analyzing operation data from a complex network. Embodiments of the present invention utilize these algorithms and techniques not only to characterize the past and present condition of a complex network, but also to predict future conditions to help operators anticipate deteriorating and/or problem situations. In particular, embodiments of the present invention characterize network conditions from operation data using a state estimator. Contingency scenarios can then be generated based on those network conditions. For at least a portion of all of the contingency scenarios, risk indices are determined that describe the potential impact of each of those scenarios. Contingency scenarios with risk indices are presented visually as graphical representations in the context of a visual representation of the complex network. Analysis of the historical risk indices based on the graphical representations can then provide trends that allow for prediction of future network conditions.

  18. Decision Support Facility for the APS Control System

    E-Print Network [OSTI]

    Dohan, D A

    2001-01-01T23:59:59.000Z

    The Advanced Photon Source is now in its fifth year of routine beam production. The EPICS-based [1] control system has entered the phase in its life cycle where new control algorithms must be implemented under increasingly stringent operational and reliability requirements. The sheer volume of the control system (~270,000 records, ~145 VME-based input-output controllers (IOCs), and ~7,000,000 lines of EPICS ASCII configuration code), presents a daunting challenge for code maintenance. The present work describes a relational database that provides an integrated view of the interacting components of the entire APS control system, including the IOC low-level logic, the physical wiring documentation, and high-level client applications. The database is extracted (booted) from the same operational CVS repository as that used to load the active IOCs. It provides site-wide decision support facilities to inspect and trace control flow and to identify client (e.g., user interface) programs involved at any selected poin...

  19. Representing Uncertainty in Decision Support Harvey J. Greenberg

    E-Print Network [OSTI]

    Greenberg, Harvey J.

    , such as not knowing how much oil is underground? Is it noise, such as measurement error? Is it ambiguity, such as what defines a proven reserve? · Time scale. Is the decision a strategic one, to cover a planning horizon

  20. A framework for decision support in systems architecting

    E-Print Network [OSTI]

    Simmons, Willard Lennox

    2008-01-01T23:59:59.000Z

    The objective of this thesis is to provide a method and tool to leverage computational resources to empower a systems architect to reason about architectural decisions more comprehensively and effectively compared to ...

  1. Decision support models for solid waste management: Review and game-theoretic approaches

    SciTech Connect (OSTI)

    Karmperis, Athanasios C., E-mail: athkarmp@mail.ntua.gr [Sector of Industrial Management and Operational Research, School of Mechanical Engineering, National Technical University of Athens, Iroon Polytechniou 9, 15780 Athens (Greece); Army Corps of Engineers, Hellenic Army General Staff, Ministry of Defence (Greece); Aravossis, Konstantinos; Tatsiopoulos, Ilias P.; Sotirchos, Anastasios [Sector of Industrial Management and Operational Research, School of Mechanical Engineering, National Technical University of Athens, Iroon Polytechniou 9, 15780 Athens (Greece)

    2013-05-15T23:59:59.000Z

    Highlights: ? The mainly used decision support frameworks for solid waste management are reviewed. ? The LCA, CBA and MCDM models are presented and their strengths, weaknesses, similarities and possible combinations are analyzed. ? The game-theoretic approach in a solid waste management context is presented. ? The waste management bargaining game is introduced as a specific decision support framework. ? Cooperative and non-cooperative game-theoretic approaches to decision support for solid waste management are discussed. - Abstract: This paper surveys decision support models that are commonly used in the solid waste management area. Most models are mainly developed within three decision support frameworks, which are the life-cycle assessment, the costĖbenefit analysis and the multi-criteria decision-making. These frameworks are reviewed and their strengths and weaknesses as well as their critical issues are analyzed, while their possible combinations and extensions are also discussed. Furthermore, the paper presents how cooperative and non-cooperative game-theoretic approaches can be used for the purpose of modeling and analyzing decision-making in situations with multiple stakeholders. Specifically, since a waste management model is sustainable when considering not only environmental and economic but also social aspects, the waste management bargaining game is introduced as a specific decision support framework in which future models can be developed.

  2. A proposed cost-benefit analysis model for physical form analysis for a futuristic submarine decision support system

    E-Print Network [OSTI]

    Bhattacharjee, Dhiman

    2007-01-01T23:59:59.000Z

    This thesis proposes a model for cost-benefit analysis for physical form selection of a decision support tool, primarily to support system acquisition decisions that need to be made early in the system life cycle. By ...

  3. Linking MODFLOW with an Agent-Based Land-Use Model to Support Decision Making

    E-Print Network [OSTI]

    Illinois at Chicago, University of

    Linking MODFLOW with an Agent-Based Land-Use Model to Support Decision Making by Howard W. Reeves1 improve water resources management by illustrating the nonlinear behavior of the coupled system (Pahl systems arise from the decisions of many individuals and groups (Holland 1995; Batty 2005). For the agent

  4. CropIrri: A DECISION SUPPORT SYSTEM FOR CROP IRRIGATION MANAGEMENT

    E-Print Network [OSTI]

    : A field crop irrigation management decision-making system (CropIrri) was developed based on the soil water management model. The irrigation plan is made through predicating of soil water content in root zone-sowing and real-time irrigation management decision-making support, simulation of soil water dynamics in the root

  5. architecture decision support: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Sciences Websites Summary: SHARK: Architectural Support for Autonomic Protection Against Stealth by Rootkit Exploits Vikas R, in this paper, an autonomic architecture called...

  6. Decision support tool for the tanker second-hand market using data mining techniques

    E-Print Network [OSTI]

    Karaindros, Athanasios A. (Athanasios Andreas)

    2005-01-01T23:59:59.000Z

    This thesis proposes an innovative decision support tool intended for market leaders and those anticipating market states of "sale and purchase". This is feasible with the use of powerful data mining techniques and the ...

  7. City.Net IES: A sustainability-oriented energy decision support system

    E-Print Network [OSTI]

    Adepetu, Adedamola

    A city's energy system processes, as well as the interactions of the energy system with other systems in a city are imperative in creating a comprehensive energy decision support system due to the interdependencies between ...

  8. A decision-support model for managing the fuel inventory of a Panamanian generating company

    E-Print Network [OSTI]

    Perez-Franco, Roberto, 1976-

    2004-01-01T23:59:59.000Z

    Bahia Las Minas Corp (BLM) is a fuelpowered generating company in the Panamanian power system. The purpose of this thesis is to design and evaluate a decision-support model for managing the fuel inventory of this company. ...

  9. BUSINESS INTELLIGENCE AS AN INNOVATIVE COMPUTER TOOL FOR SUPPORTING DECISIONS IN SME

    E-Print Network [OSTI]

    BUSINESS INTELLIGENCE AS AN INNOVATIVE COMPUTER TOOL FOR SUPPORTING DECISIONS IN SME Justyna the model of sustainable development of SME based on using Business Intelligence as an innovative computer Management, Business Intelligence, SME BUSINESS INTELLIGENCE JAKO PRZYKLAD INNOWACYJNEGO NARZDZIA

  10. Computer-based tools for decision support at the Hanford Site

    SciTech Connect (OSTI)

    Doctor, P.G.; Mahaffey, J.A.; Cowley, P.J.; Freshley, M.D.; Hassig, N.L.; Brothers, J.W.; Glantz, C.S.; Strachan, D.M.

    1992-11-01T23:59:59.000Z

    To help integrate activities in the environmental restoration and waste management mission of the Hanford Site, the Hanford Integrated Planning Project (HIPP) was established and funded by the US Department of Energy. The project is divided into three key program elements, the first focusing on an explicit, defensible and comprehensive method for evaluating technical options. Based on the premise that computer technology can be used to support the decision-making process and facilitate integration among programs and activities, the Decision Support Tools Task was charged with assessing the status of computer technology for those purposes at the Site. The task addressed two types of tools: tools need to provide technical information and management support tools. Technical tools include performance and risk assessment models, information management systems, data and the computer infrastructure to supports models, data, and information management systems. Management decision support tools are used to synthesize information at a high' level to assist with making decisions. The major conclusions resulting from the assessment are that there is much technical information available, but it is not reaching the decision-makers in a form to be used. Many existing tools provide components that are needed to integrate site activities; however, some components are missing and, more importantly, the glue'' or connections to tie the components together to answer decision-makers questions is largely absent. Top priority should be given to decision support tools that support activities given in the TPA. Other decision tools are needed to facilitate and support the environmental restoration and waste management mission.

  11. Computer-based tools for decision support at the Hanford Site

    SciTech Connect (OSTI)

    Doctor, P.G.; Mahaffey, J.A.; Cowley, P.J.; Freshley, M.D.; Hassig, N.L.; Brothers, J.W.; Glantz, C.S.; Strachan, D.M.

    1992-11-01T23:59:59.000Z

    To help integrate activities in the environmental restoration and waste management mission of the Hanford Site, the Hanford Integrated Planning Project (HIPP) was established and funded by the US Department of Energy. The project is divided into three key program elements, the first focusing on an explicit, defensible and comprehensive method for evaluating technical options. Based on the premise that computer technology can be used to support the decision-making process and facilitate integration among programs and activities, the Decision Support Tools Task was charged with assessing the status of computer technology for those purposes at the Site. The task addressed two types of tools: tools need to provide technical information and management support tools. Technical tools include performance and risk assessment models, information management systems, data and the computer infrastructure to supports models, data, and information management systems. Management decision support tools are used to synthesize information at a high` level to assist with making decisions. The major conclusions resulting from the assessment are that there is much technical information available, but it is not reaching the decision-makers in a form to be used. Many existing tools provide components that are needed to integrate site activities; however, some components are missing and, more importantly, the ``glue`` or connections to tie the components together to answer decision-makers questions is largely absent. Top priority should be given to decision support tools that support activities given in the TPA. Other decision tools are needed to facilitate and support the environmental restoration and waste management mission.

  12. A DECISION SUPPORT SYSTEM FOR FORENSIC Gildas Morvan1

    E-Print Network [OSTI]

    Boyer, Edmond

    (PMI) and possibly information about the victim such as death location [1]. This is done studying entomofauna, i.e. insects, mainly maggots (flies larvae), found on the corpse. PMI is usually estimated Support System (DSS) architecture able to perform PMI estimations using this model. 2 Introduction

  13. Using CORE Model-Based Systems Engineering Software to Support Program Management in the U.S. Department of Energy Office of the Biomass Project: Preprint

    SciTech Connect (OSTI)

    Riley, C.; Sandor, D.; Simpkins, P.

    2006-11-01T23:59:59.000Z

    This paper describes how a model-based systems engineering software, CORE, is helping the U. S. Department of Energy's Office of Biomass Program assist with bringing biomass-derived biofuels to the market. This software tool provides information to guide informed decision-making as biomass-to-biofuels systems are advanced from concept to commercial adoption. It facilitates management and communication of program status by automatically generating custom reports, Gantt charts, and tables using the widely available programs of Microsoft Word, Project and Excel.

  14. Decision-support tools for the assessment process

    SciTech Connect (OSTI)

    Whelan, Gene; Pelton, Mitch A.; Dorow, Kevin E.

    2004-06-14T23:59:59.000Z

    A new software system is under development that provides a framework to link disparate assessment software and databases for site-specific, regional, or national analyses. This system represents the merger of the Framework for Risk Analysis in Multimedia Environmental Systems (FRAMES), which performs site-specific assessments, and Multi-media, Multi-pathway, Multi-receptor Risk Assessment (3MRA) methodology, which performs regional and national assessments. This Merged System is an icon-driven, site-layout platform, which represents an interactive means by which the user graphically constructs a conceptualization of the problem by visually expressing the assessment, indicating sources of contamination, contaminant travel pathways through the environment, linkages between contamination and people or wildlife, and impacts associated with the contamination. It processes data as part of a systems-based assessment and is an open-architecture, object-oriented framework, which contains ''sockets'' for a collection of databases and computer codes that will transparently simulate elements of transport, exposure, and risk assessment, including contaminant source and release to and through overland soils, vadose and saturated zones, air, surface water, food supply, intake human health impacts, sensitivity/uncertainty, ecological impacts, with the ability to expand into areas including Geographical Information System (GIS), remediation technology, cost analysis, Data Quality Objectives, life-cycle management, and conceptual site design. A user can choose from a list of models, and the assessment path forward can be visually presented, which describes the models and their linkages from source through receptor to the decision-making endpoint.

  15. Decision-support tool for assessing future nuclear reactor generation portfolios.

    E-Print Network [OSTI]

    Oosterlee, Cornelis W. "Kees"

    Decision-support tool for assessing future nuclear reactor generation portfolios. Shashi Jain, where especially capital costs are known to be highly uncertain. Differ- ent nuclear reactor types uncertainties in the cost elements of a nuclear power plant, to provide an optimal portfolio of nuclear reactors

  16. Novel scenarios for sustainable waterway sediments management deduced from a decision-support tool

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Novel scenarios for sustainable waterway sediments management deduced from a decision-support tool-(0)-238-643504 E-mail: b.lemiere@brgm.fr Introduction: Sediments accumulating in waterways represent a triple dredging releases millions of m3 of sediments, from which a large part is contaminated or even polluted

  17. Opportune maintenance and predictive maintenance decision support douard Thomas, ric Levrat, Benoit Iung, Pierre Cocheteux

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    : When to perform a particular maintenance action? What components should benefit from a preventive maintenance action? Which components should first benefit from a preventive maintenance interventionOpportune maintenance and predictive maintenance decision support √?douard Thomas, √?ric Levrat

  18. Advanced Maintenance Modelling StatAvaries : An original multinet decision support tool for

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    the use of the preventive maintenance strategies on the availability of the network whereas the last model and preventive maintenance actions to delays before broken rails detection and related number of missed trains (aAdvanced Maintenance Modelling 1 StatAvaries : An original multinet decision support tool

  19. A Real-Time Decision Support System for High Cost Oil-Well Drilling Operations

    E-Print Network [OSTI]

    Aamodt, Agnar

    A Real-Time Decision Support System for High Cost Oil-Well Drilling Operations Odd Erik Gundersen In this paper we present DrillEdge - a commercial and award winning software system that monitors oil-well drilling operations in order to reduce non-productive time (NPT). DrillEdge utilizes case-based reasoning

  20. GEOSPATIAL DECISION SUPPORT FOR SEED COMPANIES IN THE CORN BELT Marcus E. Tooze1

    E-Print Network [OSTI]

    Reichenbach, Stephen E.

    GEOSPATIAL DECISION SUPPORT FOR SEED COMPANIES IN THE CORN BELT Marcus E. Tooze1 , S. Hatten2 , W in the seed industry, new applications emerge for mapping, analysis, and interpretation of cultivar. In addition, a geospatial framework was developed to identify the soil landscapes that had the best soil

  1. Funding for Large-Scale Sustainable Energy Projects Combining Expert Opinions to Support Decisions

    E-Print Network [OSTI]

    Mountziaris, T. J.

    Funding for Large-Scale Sustainable Energy Projects Combining Expert Opinions to Support Decisions for a sustainable energy future? Three teams, UMass, Harvard, and FEEM (Fondazione Eni Enrico Mattei), share a goal technologies to fund for optimal success for a sustainable energy future. Progress and Results ∑ Created models

  2. A Decision Support Tool for the Pushback Rate Control of Airport Departures

    E-Print Network [OSTI]

    Gummadi, Ramakrishna

    -testing of these types of strategies at Boston Logan International Airport, focusing on the communication). Boston Logan International Airport (BOS) is a major airport in the United States, and serves1 A Decision Support Tool for the Pushback Rate Control of Airport Departures Melanie Sandberg

  3. The Cloud Adoption Toolkit: Supporting Cloud Adoption Decisions in the Enterprise

    E-Print Network [OSTI]

    Sommerville, Ian

    1 The Cloud Adoption Toolkit: Supporting Cloud Adoption Decisions in the Enterprise Ali Khajeh-Hosseini, David Greenwood, James W. Smith, Ian Sommerville Cloud Computing Co-laboratory, School of Computer Science University of St Andrews, UK {akh, dsg22, jws7, ifs}@cs.st-andrews.ac.uk Abstract Cloud computing

  4. Leading a Horse to Water: Using Automated Reminders to Increase Use of Online Decision Support

    E-Print Network [OSTI]

    Cimino, James J.

    Leading a Horse to Water: Using Automated Reminders to Increase Use of Online Decision Support during the course of clinical care. For example, Ely and colleagues found that physicians in clinical appropriate information resources in the course of patient care. Indeed, this is the method primarily used

  5. Human-Automation Collaboration in Complex Multivariate Resource Allocation Decision Support Systems

    E-Print Network [OSTI]

    Cummings, Mary "Missy"

    1 Human-Automation Collaboration in Complex Multivariate Resource Allocation Decision Support Systems M.L. Cummings* Sylvain Bruni Humans and Automation Laboratory 77 Massachusetts Ave, 33 uncertainty, typical of supervisory control environments, it is critical that some balance of human-automation

  6. Knowledge-based service architecture for multi-risk environmental decision support applications

    E-Print Network [OSTI]

    Middleton, Stuart E.

    Knowledge-based service architecture for multi-risk environmental decision support applications and fusion. This paper describes our work to date on environmental service oriented architecture. This paper describes our work to date on knowledge-based service architecture implementations for multi

  7. ECMI2008 Abstract Agent-Based Simulation as a Novel Decision Support Tool for Retail Managers

    E-Print Network [OSTI]

    Aickelin, Uwe

    ECMI2008 Abstract Agent-Based Simulation as a Novel Decision Support Tool for Retail Managers Dr Strategy, Learning & Change (LUBS), Leeds, LS2 9JT, UK Abstract: Intelligent agents offer a new and exciting way of understanding the world of work. We apply agent-based simulation to investigate a set

  8. Parallel NonLinear Optimization : Towards The Design Of A Decision Support System For Air

    E-Print Network [OSTI]

    Abramson, David

    outcomes (e.g. financial return) whilst minimizing environmental damage. In the area of air pollution, such technology has been used for real world studies predicting air pollution levels over a planning horizon1 Parallel Non­Linear Optimization : Towards The Design Of A Decision Support System For Air

  9. Decision making technical support study for the US Army's Chemical Stockpile Disposal Program

    SciTech Connect (OSTI)

    Feldman, D.L.; Dobson, J.E.

    1990-08-01T23:59:59.000Z

    This report examines the adequacy of current command and control systems designed to make timely decisions that would enable sufficient warning and protective response to an accident at the Edgewood area of Aberdeen Proving Ground (APG), Maryland, and at Pine Bluff Arsenal (PBA), Arkansas. Institutional procedures designed to facilitate rapid accident assessment, characterization, warning, notification, and response after the onset of an emergency and computer-assisted decision-making aids designed to provide salient information to on- and-off-post emergency responders are examined. The character of emergency decision making at APG and PBA, as well as potential needs for improvements to decision-making practices, procedures, and automated decision-support systems (ADSSs), are described and recommendations are offered to guide equipment acquisition and improve on- and off-post command and control relationships. We recommend that (1) a continued effort be made to integrate on- and off-post command control, and decision-making procedures to permit rapid decision making; (2) the pathways for alert and notification among on- and off-post officials be improved and that responsibilities and chain of command among off-post agencies be clarified; (3) greater attention be given to organizational and social context factors that affect the adequacy of response and the likelihood that decision-making systems will work as intended; and (4) faster improvements be made to on-post ADSSs being developed at APG and PBA, which hold considerable promise for depicting vast amounts of information. Phased development and procurement of computer-assisted decision-making tools should be undertaken to balance immediate needs against available resources and to ensure flexibility, equity among sites, and compatibility among on- and off-post systems. 112 refs., 6 tabs.

  10. Developing decision support tools for rangeland management by combining state and transition models and Bayesian belief networks

    E-Print Network [OSTI]

    Developing decision support tools for rangeland management by combining state and transition models 2008 Keywords: Rangeland management State and transition model Queensland Bayesian belief network Adaptive management Decision support a b s t r a c t State and transition models provide a simple

  11. A decision-support system for sustainable urban metabolism in Europe

    SciTech Connect (OSTI)

    Gonzalez, Ainhoa, E-mail: ainhoag@yahoo.com [Trinity Centre for Biodiversity Research, School of Natural Sciences, Trinity College Dublin, College Green, Dublin 2 (Ireland); Donnelly, Alison, E-mail: donnelac@tcd.ie [Centre for the Environment, School of Natural Sciences, Trinity College Dublin (Ireland); Jones, Mike, E-mail: mike.jones@tcd.ie [Discipline of Botany, School of Natural Sciences, Trinity College Dublin (Ireland); Chrysoulakis, Nektarios, E-mail: zedd2@iacm.forth.gr [Foundation for Research and Technology-Hellas, Institute of Applied and Computational Mathematics (Greece); Lopes, Myriam, E-mail: myr@ua.pt [Departamento de Ambiente e Ordenamento and CESAM, University of Aveiro (Portugal)

    2013-01-15T23:59:59.000Z

    Urban metabolism components define the energy and material exchanges within a city and, therefore, can provide valuable information on the environmental quality of urban areas. Assessing the potential impact of urban planning alternatives on urban metabolism components (such as energy, water, carbon and pollutants fluxes) can provide a quantitative estimation of their sustainability performance. Urban metabolism impact assessment can, therefore, contribute to the identification of sustainable urban structures with regards, for example, to building types, materials and layout, as well as to location and capacity of transportation and infrastructural developments. In this way, it enables the formulation of planning and policy recommendations to promote efficient use of resources and enhance environmental quality in urban areas. The European FP7 project BRIDGE (sustainaBle uRban plannIng Decision support accountinG for urban mEtabolism) has developed a decision-support system (DSS) that systematically integrates urban metabolism components into impact assessment processes with the aim of accurately quantifying the potential effects of proposed planning interventions. The DSS enables integration of multiple spatial and non-spatial datasets (e.g. physical flows of energy and material with variables of social and economic change) in a systematic manner to obtain spatially defined assessment results and to thus inform planners and decision-makers. This multi-criteria approach also enables incorporation of stakeholders' perceptions in order to prioritise decisive assessment criteria. This paper describes the methodological framework used to develop the DSS and critically examines the results of its practical application in five European cities. - Highlights: Black-Right-Pointing-Pointer Urban metabolism in sustainability assessment of planning alternatives. Black-Right-Pointing-Pointer European FP7 project applied to 5 real life case studies across Europe. Black-Right-Pointing-Pointer Decision support system enables incorporating scientific knowledge into planning. Black-Right-Pointing-Pointer Scale, data availability and stakeholder representativeness limit its application.

  12. Comparing object oriented and traditional designs for a forest pest management decision support system

    E-Print Network [OSTI]

    Power, J. M

    1991-01-01T23:59:59.000Z

    developed for a forest pest management decision support system (DSS) to simulate the pattern of functional reusability during system evolution. Each design model was constructed using the Nexpert Object expert system development shell. The 00 design used... CONTROL PLAN PEST SURVEY ES POPULATION DBMS PIANT SPATIAL ANIMAL INSEC'I POPULATION COMPUTER LIFE STAGE PLANT POPULATION~ TOP~ BIOLOGICAL SIMULATION~ WEATHER TREE PHYSICAL~~ SOIL MANAGEMENT FIRE SPATIAL QUERY SUITABILITY QUERY SIMULATION QUERY...

  13. LCA-IWM: A decision support tool for sustainability assessment of waste management systems

    SciTech Connect (OSTI)

    Boer, J. den [Institute of Water Supply and Groundwater Protection, Wastewater Technology, Waste Management, Industrial Material Cycles, Environmental and Spatial Planning (Institute WAR), Technische Universitaet Darmstadt, Petersenstr. 13, 64287 Darmstadt (Germany)], E-mail: j.denboer@iwar.tu-darmstadt.de; Boer, E. den; Jager, J. [Institute of Water Supply and Groundwater Protection, Wastewater Technology, Waste Management, Industrial Material Cycles, Environmental and Spatial Planning (Institute WAR), Technische Universitaet Darmstadt, Petersenstr. 13, 64287 Darmstadt (Germany)

    2007-07-01T23:59:59.000Z

    The paper outlines the most significant result of the project 'The use of life cycle assessment tools for the development of integrated waste management strategies for cities and regions with rapid growing economies', which was the development of two decision-support tools: a municipal waste prognostic tool and a waste management system assessment tool. The article focuses on the assessment tool, which supports the adequate decision making in the planning of urban waste management systems by allowing the creation and comparison of different scenarios, considering three basic subsystems: (i) temporary storage; (ii) collection and transport and (iii) treatment, disposal and recycling. The design and analysis options, as well as the assumptions made for each subsystem, are shortly introduced, providing an overview of the applied methodologies and technologies. The sustainability assessment methodology used in the project to support the selection of the most adequate scenario is presented with a brief explanation of the procedures, criteria and indicators applied on the evaluation of each of the three sustainability pillars.

  14. IEEE TRANSACTIONS ON COMPUTERS, SPECIAL ISSUE COMPUTATIONAL SUSTAINABILITY, TCSI-2012-10-0740 1 A Decision Support System for the Design

    E-Print Network [OSTI]

    Carenini, Giuseppe

    A Decision Support System for the Design and Evaluation of Sustainable Wastewater Solutions Brent C. This paper describes a decision support system (DSS) prototype that is designed to help community planners to the community's sustainability goals. Index Terms-- Logic Programming, Decision Support, Design, Environment

  15. Developing a Framework to Support Shared Decision Making for Youth Mental Health Medication Treatment

    E-Print Network [OSTI]

    Crickard, Elizabeth L.; O'Brien, Megan S.; Rapp, Charles A.; Holmes, Cheryl L.

    2010-10-01T23:59:59.000Z

    Abstract Medical shared decision making has demonstrated success in increasing collaboration between clients and practitioners for various health decisions. As the importance of a shared decision making approach becomes ...

  16. Integration of Water Resource Models with Fayetteville Shale Decision Support and Information System

    SciTech Connect (OSTI)

    Cothren, Jackson; Thoma, Greg; DiLuzio, Mauro; Limp, Fred

    2013-06-30T23:59:59.000Z

    Significant issues can arise with the timing, location, and volume of surface water withdrawals associated with hydraulic fracturing of gas shale reservoirs as impacted watersheds may be sensitive, especially in drought years, during low flow periods, or during periods of the year when activities such as irrigation place additional demands on the surface supply of water. Significant energy production and associated water withdrawals may have a cumulative impact to watersheds over the short-term. Hence, hydraulic fracturing based on water withdrawal could potentially create shifts in the timing and magnitude of low or high flow events or change the magnitude of river flow at daily, monthly, seasonal, or yearly time scales. These changes in flow regimes can result in dramatically altered river systems. Currently little is known about the impact of fracturing on stream flow behavior. Within this context the objective of this study is to assess the impact of the hydraulic fracturing on the water balance of the Fayetteville Shale play area and examine the potential impacts of hydraulic fracturing on river flow regime at subbasin scale. This project addressed that need with four unique but integrated research and development efforts: 1) Evaluate the predictive reliability of the Soil and Water Assessment Tool (SWAT) model based at a variety of scales (Task/Section 3.5). The Soil and Water Assessment Tool (SWAT) model was used to simulate the across-scale water balance and the respective impact of hydraulic fracturing. A second hypothetical scenario was designed to assess the current and future impacts of water withdrawals for hydraulic fracturing on the flow regime and on the environmental flow components (EFCs) of the river. The shifting of these components, which present critical elements to water supply and water quality, could influence the ecological dynamics of river systems. For this purpose, we combined the use of SWAT model and Richter et al.ís (1996) methodology to assess the shifting and alteration of the flow regime within the river and streams of the study area. 2) Evaluate the effect of measurable land use changes related to gas development (well-pad placement, access road completion, etc.) on surface water flow in the region (Task/Section 3.7). Results showed that since the upsurge in shale-gas related activities in the Fayetteville Shale Play (between 2006 and 2010), shale-gas related infrastructure in the region have increase by 78%. This change in land-cover in comparison with other land-cover classes such as forest, urban, pasture, agricultural and water indicates the highest rate of change in any land-cover category for the study period. A Soil and Water Assessment Tool (SWAT) flow model of the Little Red River watershed simulated from 2000 to 2009 showed a 10% increase in storm water runoff. A forecast scenario based on the assumption that 2010 land-cover does not see any significant change over the forecast period (2010 to 2020) also showed a 10% increase in storm water runoff. Further analyses showed that this change in the stream-flow regime for the forecast period is attributable to the increase in land-cover as introduced by the shale-gas infrastructure. 3) Upgrade the Fayetteville Shale Information System to include information on watershed status. (Tasks/Sections 2.1 and 2.2). This development occurred early in the project period, and technological improvements in web-map APIís have made it possible to further improve the map. The current sites (http://lingo.cast.uark.edu) is available but is currently being upgraded to a more modern interface and robust mapping engine using funds outside this project. 4) Incorporate the methodologies developed in Tasks/Sections 3.5 and 3.7 into a Spatial Decision Support System for use by regulatory agencies and producers in the play. The resulting system is available at http://fayshale.cast.uark.edu and is under review the Arkansas Natural Resources Commission.

  17. E-Print Network 3.0 - advanced decision support Sample Search...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    document that allows Summary: future health care and medical research decisions. The NIH advance directive docu- ment only takes effect... decisions for you If you become...

  18. Probabilistic Risk Based Decision Support for Oil and Gas Exploration and Production Facilities in Sensitive Ecosystems

    SciTech Connect (OSTI)

    Greg Thoma; John Veil; Fred Limp; Jackson Cothren; Bruce Gorham; Malcolm Williamson; Peter Smith; Bob Sullivan

    2009-05-31T23:59:59.000Z

    This report describes work performed during the initial period of the project 'Probabilistic Risk Based Decision Support for Oil and Gas Exploration and Production Facilities in Sensitive Ecosystems.' The specific region that is within the scope of this study is the Fayetteville Shale Play. This is an unconventional, tight formation, natural gas play that currently has approximately 1.5 million acres under lease, primarily to Southwestern Energy Incorporated and Chesapeake Energy Incorporated. The currently active play encompasses a region from approximately Fort Smith, AR east to Little Rock, AR approximately 50 miles wide (from North to South). The initial estimates for this field put it almost on par with the Barnett Shale play in Texas. It is anticipated that thousands of wells will be drilled during the next several years; this will entail installation of massive support infrastructure of roads and pipelines, as well as drilling fluid disposal pits and infrastructure to handle millions of gallons of fracturing fluids. This project focuses on gas production in Arkansas as the test bed for application of proactive risk management decision support system for natural gas exploration and production. The activities covered in this report include meetings with representative stakeholders, development of initial content and design for an educational web site, and development and preliminary testing of an interactive mapping utility designed to provide users with information that will allow avoidance of sensitive areas during the development of the Fayetteville Shale Play. These tools have been presented to both regulatory and industrial stakeholder groups, and their feedback has been incorporated into the project.

  19. Information technology and decision support tools for stakeholder-driven river basin salinity management

    SciTech Connect (OSTI)

    Quinn, N.W.T; Cozad, D.B.; Lee, G.

    2010-01-01T23:59:59.000Z

    Innovative strategies for effective basin-scale salinity management have been developed in the Hunter River Basin of Australia and more recently in the San Joaquin River Basin of California. In both instances web-based stakeholder information dissemination has been a key to achieving a high level of stakeholder involvement and the formulation of effective decision support salinity management tools. A common element to implementation of salinity management strategies in both river basins has been the concept of river assimilative capacity for controlling export salt loading and the potential for trading of the right to discharge salt load to the river - the Hunter River in Australia and the San Joaquin River in California. Both rivers provide basin drainage and the means of exporting salt to the ocean. The paper compares and contrasts the use of monitoring, modeling and information dissemination in the two basins to achieve environmental compliance and sustain irrigated agriculture in an equitable and socially and politically acceptable manner.

  20. Using a Decision Support System to Optimize Production of Agricultural Crop Residue Biofeedstock

    SciTech Connect (OSTI)

    Reed L. Hoskinson; Ronald C. Rope; Raymond K. Fink

    2007-04-01T23:59:59.000Z

    For several years the Idaho National Laboratory (INL) has been developing a Decision Support System for Agriculture (DSS4Ag) which determines the economically optimum recipe of various fertilizers to apply at each site in a field to produce a crop, based on the existing soil fertility at each site, as well as historic production information and current prices of fertilizers and the forecast market price of the crop at harvest, for growing a crop such as wheat, potatoes, corn, or cotton. In support of the growing interest in agricultural crop residues as a bioenergy feedstock, we have extended the capability of the DSS4Ag to develop a variable-rate fertilizer recipe for the simultaneous economically optimum production of both grain and straw, and have been conducting field research to test this new DSS4Ag. In this paper we report the results of two years of field research testing and enhancing the DSS4Agís ability to economically optimize the fertilization for the simultaneous production of both grain and its straw, where the straw is an agricultural crop residue that can be used as a biofeedstock.

  1. Medication recommendations vs. peer practice in pediatric levothyroxine dosing : a study of collective intelligence from a clinical data warehouse as a potential model for clinical decision support

    E-Print Network [OSTI]

    Scheufele, Elisabeth Lee

    2009-01-01T23:59:59.000Z

    Clinical decision support systems (CDSS) are developed primarily from knowledge gleaned from evidence-based research, guidelines, trusted resources and domain experts. While these resources generally represent information ...

  2. A decision analysis framework to support long-term planning for nuclear fuel cycle technology research, development, demonstration and deployment

    SciTech Connect (OSTI)

    Sowder, A.G.; Machiels, A.J. [Electric Power Research Institute, 1300 West. W.T Harris Boulevard, Charlotte, NC 28262 (United States); Dykes, A.A.; Johnson, D.H. [ABSG Consulting Inc., 300 Commerce, Suite 200, Irvine, CA 92602 (United States)

    2013-07-01T23:59:59.000Z

    To address challenges and gaps in nuclear fuel cycle option assessment and to support research, develop and demonstration programs oriented toward commercial deployment, EPRI (Electric Power Research Institute) is seeking to develop and maintain an independent analysis and assessment capability by building a suite of assessment tools based on a platform of software, simplified relationships, and explicit decision-making and evaluation guidelines. As a demonstration of the decision-support framework, EPRI examines a relatively near-term fuel cycle option, i.e., use of reactor-grade mixed-oxide fuel (MOX) in U.S. light water reactors. The results appear as a list of significant concerns (like cooling of spent fuels, criticality risk...) that have to be taken into account for the final decision.

  3. Computeer-based decision support tools for evaluation of actions affecting flow and water quality in the San Joaquin Basin

    SciTech Connect (OSTI)

    Quinn, N.W.T.

    1993-01-01T23:59:59.000Z

    This document is a preliminary effort to draw together some of the important simulation models that are available to Reclamation or that have been developed by Reclamation since 1987. This document has also attempted to lay out a framework by which these models might be used both for the purposes for which they were originally intended and to support the analysis of other issues that relate to the hydrology and to salt and water quality management within the San Joaquin Valley. To be successful as components of a larger Decision Support System the models should to be linked together using custom designed interfaces that permit data sharing between models and that are easy to use. Several initiatives are currently underway within Reclamation to develop GIS - based and graphics - based decision support systems to improve the general level of understanding of the models currently in use, to standardize the methodology used in making planning and operations studies and to permit improved data analysis, interpretation and display. The decision support systems should allow greater participation in the planning process, allow the analysis of innovative actions that are currently difficult to study with present models and should lead to better integrated and more comprehensive plans and policy decisions in future years.

  4. Flood management in a complex river basin with a real-time decision support system based on hydrological forecasts

    E-Print Network [OSTI]

    , Portes du Scex,!) and in the hydropower plants "If a risk of overflowing exists, the Decision Support System MINDS proposes the optimal hydropower plants management for flood peak reduction PREDICTING FLOODS! ...taking profit of the existing hydropower schemes for reducing flood damages ...warning authorities

  5. Invited Contribution to Q 76: The Use of Risk Analysis to Support Dam Safety Decisions and Management

    E-Print Network [OSTI]

    Bowles, David S.

    Decisions and Management DRAFT FOR REVIEW ONLY Portfolio Risk Assessment: A Tool for Managing Dam SafetyICOLD 20th Congress Invited Contribution to Q 76: The Use of Risk Analysis to Support Dam Safety in the Context of the Owner's Business David S. Bowles Professor and Director, Institute for Dam Safety Risk

  6. Data warehousing and on-line analytical processing (OLAP) are essential elements of decision support, which has

    E-Print Network [OSTI]

    Lakshmanan, Laks V.S.

    ; front end client tools for querying and data analysis; server extensions for efficient query processing analysis, risk analysis, credit card analysis, and fraud detection), transportation (for fleet management of decision support, which has increasingly become a focus of the database industry. Many commercial products

  7. A decision support system for adaptive real-time management ofseasonal wetlands in California

    SciTech Connect (OSTI)

    Quinn, Nigel W.T.; Hanna, W. Mark

    2001-10-16T23:59:59.000Z

    This paper describes the development of a comprehensive flow and salinity monitoring system and application of a decision support system (DSS) to improve management of seasonal wetlands in the San Joaquin Valley of California. The Environmental Protection Agency regulates salinity discharges from non-point sources to the San Joaquin River using a procedure known as the Total Maximum Daily Load (TMDL) to allocate the assimilative capacity of the River for salt among watershed sources. Management of wetland sources of salt load will require the development of monitoring systems, more integrative management strategies and coordination with other entities. To obtain local cooperation the Grassland Water District, whose primary function is to supply surface water to private duck clubs and managed wetlands, needs to communicate to local landowners the likely impacts of salinity regulation on the long term health and function of wildfowl habitat. The project described in this paper will also provide this information. The models that form the backbone of the DSS develop salinity balances at both a regional and local scale. The regional scale concentrates on deliveries to and exports from the Grasland Water District while the local scale focuses on an individual wetland unit where more intensive monitoring is being conducted. The design of the DSS is constrained to meet the needs of busy wetland managers and is being designed from the bottom up utilizing tools and procedures familiar to these individuals.

  8. Conceptual air sparging decision tool in support of the development of an air sparging optimization decision tool

    SciTech Connect (OSTI)

    NONE

    1995-09-01T23:59:59.000Z

    The enclosed document describes a conceptual decision tool (hereinafter, Tool) for determining applicability of and for optimizing air sparging systems. The Tool was developed by a multi-disciplinary team of internationally recognized experts in air sparging technology, lead by a group of project and task managers at Parsons Engineering Science, Inc. (Parsons ES). The team included Mr. Douglas Downey and Dr. Robert Hinchee of Parsons ES, Dr. Paul Johnson of Arizona State University, Dr. Richard Johnson of Oregon Graduate Institute, and Mr. Michael Marley of Envirogen, Inc. User Community Panel Review was coordinated by Dr. Robert Siegrist of Colorado School of Mines (also of Oak Ridge National Laboratory) and Dr. Thomas Brouns of Battelle/Pacific Northwest Laboratory. The Tool is intended to provide guidance to field practitioners and environmental managers for evaluating the applicability and optimization of air sparging as remedial action technique.

  9. E-Print Network 3.0 - assessment decision support Sample Search...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    a decision context. One... assessments can lead to ... Source: Heckerman, David - Machine Learning and Statistics Group, Microsoft Research; Narasayya, Vivek - Data Management,...

  10. Abstract--The unavailability of a flexible system for real-time testing of decision-support algorithms in a pre-hospital

    E-Print Network [OSTI]

    and showed that the platform can support a quick development cycle for real-time decision-support algorithms1 Abstract--The unavailability of a flexible system for real- time testing of decision for life-saving interventions and immediate evacuation, and advises on appropriate therapeutic actions [1

  11. Decision Support Systems to Identify Efficient Beef Production Systems Collecting individual phenotype data in cattle is expensive; therefore, scientific approaches that integrate and apply accumulated

    E-Print Network [OSTI]

    Decision Support Systems to Identify Efficient Beef Production Systems Collecting individual impact of beef production. Objective The objective is to develop a decision-support system and Cornell Value Discovery System) and found that genetic correlations between observed and predicted intakes

  12. A GIS based Decision Support Tool for the Management of Industrial Risk S.A Karkanis and G.S.Bonanos

    E-Print Network [OSTI]

    Athens, University of

    A GIS based Decision Support Tool for the Management of Industrial Risk S.A Karkanis and G", P.O. Box 60228, Aghia Paraskevi, 15310, Greece Abstract A decision support tool for the management that are based on geographical considerations of the extent of risk. A tool has been developed on a GIS

  13. Transportation in Shanghai: A Decision Support System to Move towards Sustainability.

    E-Print Network [OSTI]

    Quchen, Xu; Yanping, Zhuang

    2010-01-01T23:59:59.000Z

    ??An excellent transportation system is integral for Shanghai as it aims for sustainable development. Decision-making has a far-reaching impact on transportation, which should be improvedÖ (more)

  14. A decision support system for income-producing real estate development feasibility analysis and alternative assessment

    E-Print Network [OSTI]

    Leelarasamee, Yosaporn

    2005-08-29T23:59:59.000Z

    of projected net present value variations. The testing results indicate that DSSVenture system significantly enhances comprehensiveness of the decision context by increasing the number of alternatives for developers. Since the use of the system significantly...

  15. The {open_quotes}leak-before-break{close_quotes} applicability in decision support system {open_quotes}strength{close_quotes}

    SciTech Connect (OSTI)

    Torop, V.M.; Orynyak, I.V. [Institute for Problems of Strength, Kiev (Ukraine); Kutovoy, O.L. [Institute of Structure Integrity, Kiev (Ukraine)

    1997-04-01T23:59:59.000Z

    A software decision support system, STRENGTH, for application of leak before break analysis, is described. The background methodology and sample application are outlined. The program allows multioptional computation of loading parameters for different types of defects, and variable properties for metals and welded joints. Structural strength is assessed, and service life predictions are made. The program is used to analyze specific defects identified by nondestructive testing.

  16. A Cercla-Based Decision Model to Support Remedy Selection for an Uncertain Volume of Contaminants at a DOE Facility

    SciTech Connect (OSTI)

    Christine E. Kerschus

    1999-03-31T23:59:59.000Z

    The Paducah Gaseous Diffusion Plant (PGDP) operated by the Department of Energy is challenged with selecting the appropriate remediation technology to cleanup contaminants at Waste Area Group (WAG) 6. This research utilizes value-focused thinking and multiattribute preference theory concepts to produce a decision analysis model designed to aid the decision makers in their selection process. The model is based on CERCLA's five primary balancing criteria, tailored specifically to WAG 6 and the contaminants of concern, utilizes expert opinion and the best available engineering, cost, and performance data, and accounts for uncertainty in contaminant volume. The model ranks 23 remediation technologies (trains) in their ability to achieve the CERCLA criteria at various contaminant volumes. A sensitivity analysis is performed to examine the effects of changes in expert opinion and uncertainty in volume. Further analysis reveals how volume uncertainty is expected to affect technology cost, time and ability to meet the CERCLA criteria. The model provides the decision makers with a CERCLA-based decision analysis methodology that is objective, traceable, and robust to support the WAG 6 Feasibility Study. In addition, the model can be adjusted to address other DOE contaminated sites.

  17. Announcement of Agency Decision: Recommendations on the Use of Chimpanzees in NIH-Supported Research

    E-Print Network [OSTI]

    Ungerleider, Leslie G.

    Announcement of Agency Decision: Recommendations on the Use of Chimpanzees in NIH Institutes of Health (NIH) regarding the use of chimpanzees in research. In February 2012, the NIH charged the Necessity. On January 22, 2013, the NIH Council of Councils (Council) accepted recommendations presented

  18. SEGALL, NOA. Design and Prototyping of a Cognitive Model-Based Decision Support Tool for Anesthesia Provider Management of Crisis Situations. (Under the direction of David B.

    E-Print Network [OSTI]

    Kaber, David B.

    for Anesthesia Provider Management of Crisis Situations. (Under the direction of David B. Kaber.) This research crisis situations that would prompt the anesthesia provider to contact an attending physician. In addition, the tool could be used by practitioners working alone to deliver anesthesia. A novel approach

  19. Performance assessment in support of the 1996 compliance certification application for the Waste Isolation Pilot Plant: A decision analysis perspective

    SciTech Connect (OSTI)

    Helton, J.C. [Arizona State Univ., Tempe, AZ (United States). Dept. of Mathematics; Anderson, D.R.; Jow, H.N.; Marietta, M.G. [Sandia National Labs., Albuquerque, NM (United States); Basabilvazo, G. [Dept. of Energy, Carlsbad, NM (United States)

    1998-08-01T23:59:59.000Z

    The Waste Isolation Pilot Plant (WIPP) is under development by the US Department of Energy (DOE) for the geologic disposal of transuranic waste. The primary regulatory requirements (i.e., 40 CFR 191 and 40 CFR 194) placed on the WIPP by the US Environmental Protection Agency (EPA) involve a complementary cumulative distribution function (CCDF) for normalized radionuclide releases to the accessible environment. The interpretation and use of this CCDF from a decision analysis perspective is discussed and illustrated with results from the 1996 performance assessment for the WIPP, which was carried out to support a compliance certification application by the DOE to the EPA for the WIPP.

  20. Modeling and Analysis in Support of Decision Making for Technological Investment

    SciTech Connect (OSTI)

    Lenhart, S

    2003-06-11T23:59:59.000Z

    Engineering design, resource allocation, military operations, and investment strategies share a major common trait, which is, to a large extent, independent of their different origins, specific features, and intended goals. The unifying trait is the fact that, in any of these endeavors, one has to make reasonable choices, at multiple levels of decision making, among various possible and sometimes competing prospective solutions to an important and consequential practical problem. While the specifics of the problem depend on application, context, additional constraints, etc., the ultimate--albeit imprecise--goal in all these activities is to ''optimize performance,'' which is to have maximal success/profit/return with minimal time/effort/investment. In general, the underlying system is ruled by complex and often unknown dynamics, and affected by various uncertainties, which are unknown as well; on the other hand, there are numerous levels of decision making, which result in a hierarchical structure in the decision process (tree) that is both asynchronous and non-deterministic. Usually, indifferent of the specific application, as one lowers the level of decision making, alternatives depend on fewer independent variables and models become more detailed and physics/engineering based. On the contrary, at higher levels, various components aggregate and decision making is based more on fuzzier criteria instead of readily quantifiable physics/engineering details. Moreover, decisions are strongly influenced by the educational and personal biases of the people who take them. In some instances, this may blur, if not totally obfuscate objective comparisons between various options. Therefore, a crucial point in decision-making is properly understanding and quantifying the tradeoffs, including all their future relevant consequences. Since the interaction between various choices is an intricate nonlinear process, the focus shifts from the dynamics itself to the overall performance and affordability. This is not unreasonable, since oftentimes major upgrades on some components have little impact, while minor upgrades of other components turn out to be critical. To illustrate the approach, we assume that one deals with only two levels. At the lower level, physical/engineering processes are described by continuous and/or discrete, analytic and/or computer models. These models are supposed to be deterministic (e.g. dynamics as ruled by well established physical laws), but their outcome may depend in an unpredictable way on: (i) small nonlinearities unaccounted for in the model development and/or (ii) factors that--at the specific level of modelization--may be treated as stochastic terms (weather conditions, human factors, political circumstances, fluctuations in the quality of carburant, wear and tear, etc.) To this extent, the outcomes of the model processes may be considered stochastic variables/fields with a certain probability distribution function (PDF). Upon many realizations of the model, one can get reliable information about the essential features of this PDF.

  1. The internal design phase of the breeding and multigeneration support system: A tracking and decision support system for NCTR (National Center for Toxicological Research)

    SciTech Connect (OSTI)

    Strand, R.; Cox, T.L.; Sjoreen, A.; Alvic, D.

    1989-06-01T23:59:59.000Z

    The National Center for Toxicological Research (NCTR) is the basic research arm of the US Food and Drug Administration (FDA). The NCTR has upgraded and standardized its computer operations on Digital Equipment Corporation VAX minicomputers using Software AG's ADABAS data base management system for all research applications. The NCTR is currently performing a large study to improve the functionality of the animal husbandry systems and applications called Breeding/Multigeneration Support System (BMSS). When functional, it will operate on VAX equipment using the ADABAS data base management system, TDMS, and COBOL. Oak Ridge National Laboratory (ORNL) is supporting NCTR in the design, prototyping, and software engineering of the BMSS. This document summarizes the internal design elements that include data structures, file structures, and system attributes that were required to facilitate the decision support requirements defined in the external design work. Prototype pseudocode then was developed for the recommended system attributes and file and data structures. Finally, ORNL described the processing requirements including the initial access of the BMSS, integration of the existing INLIFE system and the STUDY DEFINITION system under development, data system initialization and maintenance, and BMSS testing and verification. This document describes ORNL's recommendations for the internal design of the BMSS. ORNL will provide research support to NCTR in the additional phases of systems life cycle development for BMSS. ORNL has prepared this document according to NCTR's Standard Operating Procedures for Systems Development. 6 figs., 5 tabs.

  2. Incorporating Stakeholder Decision Support Needs into an Integrated Regional Earth System Model

    SciTech Connect (OSTI)

    Rice, Jennie S.; Moss, Richard H.; Runci, Paul J.; Anderson, K. L.; Malone, Elizabeth L.

    2012-03-21T23:59:59.000Z

    A new modeling effort exploring the opportunities, constraints, and interactions between mitigation and adaptation at regional scale is utilizing stakeholder engagement in an innovative approach to guide model development and demonstration, including uncertainty characterization, to effectively inform regional decision making. This project, the integrated Regional Earth System Model (iRESM), employs structured stakeholder interactions and literature reviews to identify the most relevant adaptation and mitigation alternatives and decision criteria for each regional application of the framework. The information is used to identify important model capabilities and to provide a focus for numerical experiments. This paper presents the stakeholder research results from the first iRESM pilot region. The pilot region includes the Great Lakes Basin in the Midwest portion of the United States as well as other contiguous states. This geographic area (14 states in total) permits cohesive modeling of hydrologic systems while also providing gradients in climate, demography, land cover/land use, and energy supply and demand. The results from the stakeholder research indicate that iRESM should prioritize addressing adaptation alternatives in the water resources, urban infrastructure, and agriculture sectors, such as water conservation, expanded water quality monitoring, altered reservoir releases, lowered water intakes, urban infrastructure upgrades, increased electric power reserves in urban areas, and land use management/crop selection changes. Regarding mitigation alternatives, the stakeholder research shows a need for iRESM to focus on policies affecting the penetration of renewable energy technologies, and the costs and effectiveness of energy efficiency, bioenergy production, wind energy, and carbon capture and sequestration.

  3. Uptake of Decision Support Systems (DSS) in the GB Forestry Sector

    E-Print Network [OSTI]

    · Greater uptake of DSS by the private sector · New demands for DSS to help managers respond to climate change · DSS can support certification #12;Barriers to uptake #12;25/03/20118 Foresters vs. Scientists absolutes which threaten professional judgement #12;25/03/20119 Communication · Improved communication

  4. Quick start user%3CU%2B2019%3Es guide for the PATH/AWARE decision support system.

    SciTech Connect (OSTI)

    Knowlton, Robert G.; Melton, Brad Joseph; Einfeld, Wayne; Tucker, Mark D; Franco, David Oliver [Sandia National Laboratories, Livermore, CA; Yang, Lynn I. [Sandia National Laboratories, Livermore, CA

    2013-06-01T23:59:59.000Z

    The Prioritization Analysis Tool for All-Hazards/Analyzer for Wide Area Restoration Effectiveness (PATH/AWARE) software system, developed by Sandia National Laboratories, is a comprehensive decision support tool designed to analyze situational awareness, as well as response and recovery actions, following a wide-area release of chemical, biological or radiological materials. The system provides capability to prioritize critical infrastructure assets and services for restoration. It also provides a capability to assess resource needs (e.g., number of sampling teams, laboratory capacity, decontamination units, etc.), timelines for consequence management activities, and costs. PATH/AWARE is a very comprehensive tool set with a considerable amount of database information managed through a Microsoft SQL (Structured Query Language) database engine, a Geographical Information System (GIS) engine that provides comprehensive mapping capabilities, as well as comprehensive decision logic to carry out the functional aspects of the tool set. This document covers the basic installation and operation of the PATH/AWARE tool in order to give the user enough information to start using the tool. A companion users manual is under development with greater specificity of the PATH/AWARE functionality.

  5. iRESM INITIATIVE UNDERSTANDING DECISION SUPPORT NEEDS FOR CLIMATE CHANGE MITIGATION AND ADAPTATION --US Midwest Regionó

    SciTech Connect (OSTI)

    Rice, Jennie S.; Runci, Paul J.; Moss, Richard H.; Anderson, Kate L.

    2010-10-01T23:59:59.000Z

    The impacts of climate change are already affecting human and environmental systems worldwide, yet many uncertainties persist in the prediction of future climate changes and impacts due to limitations in scientific understanding of relevant causal factors. In particular, there is mounting urgency to efforts to improve models of human and environmental systems at the regional scale, and to integrate climate, ecosystem and energy-economic models to support policy, investment, and risk management decisions related to climate change mitigation (i.e., reducing greenhouse gas emissions) and adaptation (i.e., responding to climate change impacts). The Pacific Northwest National Laboratory (PNNL) is developing a modeling framework, the integrated Regional Earth System Model (iRESM), to address regional human-environmental system interactions in response to climate change and the uncertainties therein. The framework will consist of a suite of integrated models representing regional climate change, regional climate policy, and the regional economy, with a focus on simulating the mitigation and adaptation decisions made over time in the energy, transportation, agriculture, and natural resource management sectors.

  6. Decision-aids for enhancing intergovernmental interactions: The Pre-notification Analysis Support System (PASS)

    SciTech Connect (OSTI)

    Lester, M.; Liebow, E. [Battelle Human Affairs Research Center, Seattle, WA (United States); Holm, J. [USDOE Assistant Secretary for Environmental Management, Washington, DC (United States). Office of Special Programs

    1994-05-01T23:59:59.000Z

    The Department of Energy (DOE) plans to honor its commitment to government-to-government interactions by providing advance notice of DOE spent fuel and high-level waste shipments to Indian tribes whose jurisdictions are crossed by or adjacent to transportation routes. The tribes are important contributors to a regional response network, and providing tribes with advance notice of DOE shipping plans marks the start -- not the end -- of direct, government-to-government interactions with DOE. The Tribal Prenotification Analysis Support System (PASS) is being developed for the Office of Special Programs within the Department`s Office of Environmental Restoration and Waste Management. PASS will help DOE-Headquarters to coordinate field office activities and provide technical and institutional support to the DOE field offices. PASS is designed to be used by anyone with minimum computer literacy and having contemporary computer hardware and software. It uses on-screen maps to choose and display a shipment route, and to display the tribal jurisdictions. With forms that are easy to understand, it provides information about each jurisdiction and points of contact. PASS records all contacts, commitments made, and actions taken.

  7. Controlling RPV embrittlement through wet annealing in support of life attainment and life extension decisions

    SciTech Connect (OSTI)

    Krasikov, E. A. [National Research Centre Kurchatov Inst., 1, Kurchatov Sq., Moscow, 123182 (Russian Federation)

    2012-07-01T23:59:59.000Z

    As a main barrier against radioactivity outlet reactor pressure vessel (RPV) is a key component in terms of Nuclear Power Plant (NPP) safety. Therefore present-day demands in RPV reliability enhance have to be met by all possible actions for RPV in-service embrittlement mitigation. Annealing treatment is known to be the effective measure to restore the RPV metal properties deteriorated by neutron irradiation. Low temperature 'wet' annealing at a maximum coolant temperature which can be obtained using the reactor core or primary circuit pumps, although it cannot be expected to produce complete recovery, is more attractive from the practical point of view especially in cases when the removal of the internals is impossible. As a rule there is no recovery effect up to annealing and irradiation temperature difference of 70 deg. C. It is known, however, that along with radiation embrittlement neutron irradiation may mitigate the radiation damage in metals. Therefore we have tried to test the possibility to use the effect of radiation-induced ductilization in 'wet' annealing technology by means of nuclear heat utilization as heat and neutron irradiation sources at once. In support of the above-mentioned conception the 3-year duration reactor experiment on 15Cr3NiMoV type steel with preliminary irradiation at operating Pressurized Water Reactor (PWR) at 270 deg. C and following extra irradiation (87 h at 330 deg. C) at IR-8 test reactor was fulfilled. In fact, embrittlement was partly suppressed up to value equivalent to 1,5 fold neutron fluence decrease. The degree of recovery in case of radiation enhanced annealing is equal to 27% whereas furnace annealing results in zero effect under existing conditions. Mechanism of the radiation-induced damage mitigation is proposed. It is hoped that 'wet' annealing technology will help provide a better management of the RPV degradation as a factor affecting the lifetime of nuclear power plants which, together with associated management methods, will help facilitate safe and economic long-term operation of PWRs. (authors)

  8. A decision support system for real-time management of dissolvedoxygen in the Stockton deep water ship channel

    SciTech Connect (OSTI)

    Quinn, N.W.T.; Chen, Carl W.; Stringfellow, William T.

    2003-07-16T23:59:59.000Z

    A decision support system(DSS)is under development to assistin the control and management of episodes of dissolved oxygen sag in aDeep Water Ship Channel (DWSC), located in Stockton, California. The DWSCwas formed by excavating the bed of the San Joaquin River in the 1950'sto allow navigation by ocean-going cargo ships to the Port of Stockton.The deepened channel has the effect of increasing hydraulic residencetime by a factor of ten. allowing accumulation of decaying algae andother oxygen demanding substances - which creates a barrier to themigration of anadromous fish. This problem, which manifests itself inlate summer and early autumn, is an impediment to a multimillion dollarhabitat restoration effort for the salmon fishery in the San JoaquinRiver basin (SJRB). A hydrodynamic and water quality model of the Deltaand San Joaquin River forms the basis of the DSS which will provideforecasts of dissolved oxygen sag in the DWSC and provide modelingsupport for management actions such as forced aeration to improvedissolved oxygen concentrations in the Ship Channel. A graphical userinterlace, currently used for displaying flow and salinity forecasts onthe San Joaquin River, is being adapted to allow the display of dissolvedoxygen forecasts and to encourage the formation of a stakeholder-ledentity or institution to adaptively manage the problem.

  9. 1. " The impact of personal and organizational factors on the use of decision support systems by the Jordanian corporations in

    E-Print Network [OSTI]

    of marketing managers in Jordan corporations enrolled in Amman Stock Exchange. A random sample has been in marketing decision - taking at the Jordan corporations with high level. 2- There were no significant the usage level of DSS when taking the marketing decisions. The study recommended the necessity

  10. What Can Meta-Analyses Tell Us About the Reliability of Life Cycle Assessment for Decision Support?

    SciTech Connect (OSTI)

    Brandao, M.; Heath, G.; Cooper, J.

    2012-04-01T23:59:59.000Z

    The body of life cycle assessment (LCA) literature is vast and has grown over the last decade at a dauntingly rapid rate. Many LCAs have been published on the same or very similar technologies or products, in some cases leading to hundreds of publications. One result is the impression among decision makers that LCAs are inconclusive, owing to perceived and real variability in published estimates of life cycle impacts. Despite the extensive available literature and policy need formore conclusive assessments, only modest attempts have been made to synthesize previous research. A significant challenge to doing so are differences in characteristics of the considered technologies and inconsistencies in methodological choices (e.g., system boundaries, coproduct allocation, and impact assessment methods) among the studies that hamper easy comparisons and related decision support. An emerging trend is meta-analysis of a set of results from LCAs, which has the potential to clarify the impacts of a particular technology, process, product, or material and produce more robust and policy-relevant results. Meta-analysis in this context is defined here as an analysis of a set of published LCA results to estimate a single or multiple impacts for a single technology or a technology category, either in a statistical sense (e.g., following the practice in the biomedical sciences) or by quantitative adjustment of the underlying studies to make them more methodologically consistent. One example of the latter approach was published in Science by Farrell and colleagues (2006) clarifying the net energy and greenhouse gas (GHG) emissions of ethanol, in which adjustments included the addition of coproduct credit, the addition and subtraction of processes within the system boundary, and a reconciliation of differences in the definition of net energy metrics. Such adjustments therefore provide an even playing field on which all studies can be considered and at the same time specify the conditions of the playing field itself. Understanding the conditions under which a meta-analysis was conducted is important for proper interpretation of both the magnitude and variability in results. This special supplemental issue of the Journal of Industrial Ecology includes 12 high-quality metaanalyses and critical reviews of LCAs that advance understanding of the life cycle environmental impacts of different technologies, processes, products, and materials. Also published are three contributions on methodology and related discussions of the role of meta-analysis in LCA. The goal of this special supplemental issue is to contribute to the state of the science in LCA beyond the core practice of producing independent studies on specific products or technologies by highlighting the ability of meta-analysis of LCAs to advance understanding in areas of extensive existing literature. The inspiration for the issue came from a series of meta-analyses of life cycle GHG emissions from electricity generation technologies based on research from the LCA Harmonization Project of the National Renewable Energy Laboratory (NREL), a laboratory of the U.S. Department of Energy, which also provided financial support for this special supplemental issue. (See the editorial from this special supplemental issue [Lifset 2012], which introduces this supplemental issue and discusses the origins, funding, peer review, and other aspects.) The first article on reporting considerations for meta-analyses/critical reviews for LCA is from Heath and Mann (2012), who describe the methods used and experience gained in NREL's LCA Harmonization Project, which produced six of the studies in this special supplemental issue. Their harmonization approach adapts key features of systematic review to identify and screen published LCAs followed by a meta-analytical procedure to adjust published estimates to ones based on a consistent set of methods and assumptions to allow interstudy comparisons and conclusions to be made. In a second study on methods, Zumsteg and colleagues (2012) propose a checklist for a sta

  11. rillEdge is a software system that provides real-time deci-sion support when drilling oil wells. Decisions are sup-

    E-Print Network [OSTI]

    Aamodt, Agnar

    are combined to provide best practices for how to handle the current situation. Verdande Technology hasD rillEdge is a software system that provides real-time deci- sion support when drilling oil wells on the surface and downhole when drilling. The real-time analysis identifies symptoms of problems, which

  12. Elements of an environmental decision support system for seasonal wetland salt management in a river basin subjected to water quality regulation

    SciTech Connect (OSTI)

    Quinn, N.W.T.

    2009-06-01T23:59:59.000Z

    Seasonally managed wetlands in the Grasslands Basin on the west-side of California's San Joaquin Valley provide food and shelter for migratory wildfowl during winter months and sport for waterfowl hunters during the annual duck season. Surface water supply to these wetlands contain salt which, when drained to the San Joaquin River during the annual drawdown period, can negatively impact water quality and cause concern to downstream agricultural riparian water diverters. Recent environmental regulation, limiting discharges salinity to the San Joaquin River and primarily targeting agricultural non-point sources, now also targets return flows from seasonally managed wetlands. Real-time water quality management has been advocated as a means of continuously matching salt loads discharged from agricultural, wetland and municipal operations to the assimilative capacity of the San Joaquin River. Past attempts to build environmental monitoring and decision support systems (EDSS's) to implement this concept have enjoyed limited success for reasons that are discussed in this paper. These reasons are discussed in the context of more general challenges facing the successful implementation of a comprehensive environmental monitoring, modelling and decision support system for the San Joaquin River Basin.

  13. Improved Meteorological Input for Atmospheric Release Decision support Systems and an Integrated LES Modeling System for Atmospheric Dispersion of Toxic Agents: Homeland Security Applications

    SciTech Connect (OSTI)

    Arnold, E; Simpson, M; Larsen, S; Gash, J; Aluzzi, F; Lundquist, J; Sugiyama, G

    2010-04-26T23:59:59.000Z

    When hazardous material is accidently or intentionally released into the atmosphere, emergency response organizations look to decision support systems (DSSs) to translate contaminant information provided by atmospheric models into effective decisions to protect the public and emergency responders and to mitigate subsequent consequences. The Department of Homeland Security (DHS)-led Interagency Modeling and Atmospheric Assessment Center (IMAAC) is one of the primary DSSs utilized by emergency management organizations. IMAAC is responsible for providing 'a single piont for the coordination and dissemination of Federal dispersion modeling and hazard prediction products that represent the Federal position' during actual or potential incidents under the National Response Plan. The Department of Energy's (DOE) National Atmospheric Release Advisory Center (NARAC), locatec at the Lawrence Livermore National Laboratory (LLNL), serves as the primary operations center of the IMAAC. A key component of atmospheric release decision support systems is meteorological information - models and data of winds, turbulence, and other atmospheric boundary-layer parameters. The accuracy of contaminant predictions is strongly dependent on the quality of this information. Therefore, the effectiveness of DSSs can be enhanced by improving the meteorological options available to drive atmospheric transport and fate models. The overall goal of this project was to develop and evaluate new meteorological modeling capabilities for DSSs based on the use of NASA Earth-science data sets in order to enhance the atmospheric-hazard information provided to emergency managers and responders. The final report describes the LLNL contributions to this multi-institutional effort. LLNL developed an approach to utilize NCAR meteorological predictions using NASA MODIS data for the New York City (NYC) region and demonstrated the potential impact of the use of different data sources and data parameterizations on IMAAC/NARAC fate and transport predictions. A case study involving coastal sea breeze circulation patterns in the NYC region was used to investigate the sensitivity of atmospheric dispersion results on the source of three-dimensional wind field data.

  14. The external design phase of the breeding and multigeneration support system: A tracking and decision support system for NCTR (National Center for Toxicological Research)

    SciTech Connect (OSTI)

    Strand, R.; Cox, T.L.; Sjoreen, A.; Alvic, D.

    1989-05-01T23:59:59.000Z

    The National Center for Toxicological Research (NCTR) is the basic research arm of the US Food and Drug Administration (FDA). The NCTR has upgraded and standardized its computer operations on Digital Equipment Corporation VAX minicomputers using Software AG's ADABAS data base management system for all research applications. The NCTR is currently performing a large study to improve the functionality of the animal husbandry systems and applications called Breeding/Multigeneration Support System (BMSS). When functional, it will operate on VAX equipment using the ADABAS data base management system, TDMS, and COBOL. Oak Ridge National Laboratory (ORNL) is supporting NCTR in the design, prototyping, and software engineering of the BMSS. This document summarizes the external design elements that include data entry screens, screen reports, summary and status reports, and functional definitions of screen and report data. ORNL will provide research support to NCTR in the additional phases of systems life cycle development for BMSS. ORNL has prepared this document according to NCTR's Standard Operating Procedures for Systems Development. 8 figs., 7 tabs.

  15. Integrated Modeling and Decision-Support System for Water Management in the Puget Sound Basin: Snow Caps to White Caps

    SciTech Connect (OSTI)

    Copping, Andrea E.; Yang, Zhaoqing; Voisin, Nathalie; Richey, Jeff; Wang, Taiping; Taira, Randal Y.; Constans, Michael; Wigmosta, Mark S.; Van Cleve, Frances B.; Tesfa, Teklu K.

    2013-12-31T23:59:59.000Z

    Final Report for the EPA-sponsored project Snow Caps to White Caps that provides data products and insight for water resource managers to support their predictions and management actions to address future changes in water resources (fresh and marine) in the Puget Sound basin. This report details the efforts of a team of scientists and engineers from Pacific Northwest National Laboratory (PNNL) and the University of Washington (UW) to examine the movement of water in the Snohomish Basin, within the watershed and the estuary, under present and future conditions, using a set of linked numerical models.

  16. Elements of a decision support system for real-time management ofdissolved oxygen in the San Joaquin River deep water ship channel

    SciTech Connect (OSTI)

    Quinn, N.W.T.; Jacobs, Karl; Chen, Carl W.; Stringfellow, WilliamT.

    2004-07-15T23:59:59.000Z

    A decision support system (DSS) has been designed and will be implemented over the next three years to assist in the control and management of episodes of low dissolved oxygen (DO) in a Deep Water Ship Channel (DWSC), located near Stockton, California. The DSS integrates three information technology functions. The first part is the collection and management of data on flow, pollution loads and water quality. The second part is the simulation model which can forecast the dissolved oxygen sag in the DWSC and determine management actions necessary to improve dissolved oxygen concentrations. The third part is the graphical user interface, which facilitates the computer simulations and posting of the forecasted dissolved oxygen and remedial measures to a stakeholder group for implementations.

  17. Enhanced Chemical Incident Response Plan (ECIRP). Appendix F, remediation analysis with Decision Support Tools (DSTs) for wide-area chemical hazards.

    SciTech Connect (OSTI)

    Hassig, Nancy L. (Pacific Northwest National Laboratory, Richland, WA); Pulsipher, Brent A. (Pacific Northwest National Laboratory, Richland, WA); Foltz, Greg W.; Hoette, Trisha Marie

    2011-07-01T23:59:59.000Z

    The Defense Threat Reduction Agency (DTRA) commissioned an assessment of the Consequence Management (CM) plans in place on military bases for response to a chemical attack. The effectiveness of the CM plans for recovering from chemical incidents was modeled using a multiple Decision Support Tools (DSTs). First, a scenario was developed based on an aerial dispersion of a chemical agent over a wide-area of land. The extent of contamination was modeled with the Hazard Prediction and Assessment Capability (HPAC) tool. Subsequently, the Analyzer for Wide Area Restoration Effectiveness (AWARE) tool was used to estimate the cost and time demands for remediation based on input of contamination maps, sampling and decontamination resources, strategies, rates and costs. The sampling strategies incorporated in the calculation were designed using the Visual Sample Plan (VSP) tool. Based on a gaps assessment and the DST remediation analysis, an Enhanced Chemical Incident Response Plan (ECIRP) was developed.

  18. Use of hazard assessments to support risk-based decision making in the US Department of Energy Stockpile Stewardship (SS-21) Program

    SciTech Connect (OSTI)

    Fischer, S.R.; Konkel, H.; Rainbolt, M.

    1996-04-01T23:59:59.000Z

    This paper summarizes the nuclear explosive hazard assessment activities performed to support the US Department of Energy (DOE) Stockpile Stewardship (SS-21) Integrated Safety or ``Seamless Safety`` program. Past practice within the DOE Complex dictated the use of a significant number of post-design/ fabrication safety reviews to analyze the safety associated with operations on nuclear explosives and to answer safety questions. These practices have focused on reviewing-in or auditing-in safety vs incorporating safety in the design process. SS-21 was proposed by the DOE as an avenue to develop a program to ``integrate established, recognized, verifiable safety criteria into the process at the design stage rather than continuing the reliance on reviews, evaluations and audits.`` The cornerstone of the SS-21 design process is the hazard assessment, which is performed concurrently with process and tooling design. The hazard assessment is used as the key management tool to guide overall risk management associated with the nuclear explosive activity through supporting risk-based decisions made with respect to process design.

  19. Decisionmetrices : dynamic structural estimation of shipping investment decisions

    E-Print Network [OSTI]

    Dikos, George

    2004-01-01T23:59:59.000Z

    This dissertation develops structural models for analyzing shipping investment decisions, namely ordering, scrapping and lay-up decisions in the tanker industry. We develop models, based on a microeconomic specification, ...

  20. Model-based tomographic reconstruction

    DOE Patents [OSTI]

    Chambers, David H.; Lehman, Sean K.; Goodman, Dennis M.

    2012-06-26T23:59:59.000Z

    A model-based approach to estimating wall positions for a building is developed and tested using simulated data. It borrows two techniques from geophysical inversion problems, layer stripping and stacking, and combines them with a model-based estimation algorithm that minimizes the mean-square error between the predicted signal and the data. The technique is designed to process multiple looks from an ultra wideband radar array. The processed signal is time-gated and each section processed to detect the presence of a wall and estimate its position, thickness, and material parameters. The floor plan of a building is determined by moving the array around the outside of the building. In this paper we describe how the stacking and layer stripping algorithms are combined and show the results from a simple numerical example of three parallel walls.

  1. Data Mining Session-Based Patient Reported Outcomes (PROs) in a Mental Health Setting: Toward Data-Driven Clinical Decision Support and Personalized Treatment

    E-Print Network [OSTI]

    Casey Bennett; Thomas Doub; April Bragg; Jason Luellen; Christina Van Regenmorter; Jennifer Lockman; Randall Reiserer

    2011-12-07T23:59:59.000Z

    The CDOI outcome measure - a patient-reported outcome (PRO) instrument utilizing direct client feedback - was implemented in a large, real-world behavioral healthcare setting in order to evaluate previous findings from smaller controlled studies. PROs provide an alternative window into treatment effectiveness based on client perception and facilitate detection of problems/symptoms for which there is no discernible measure (e.g. pain). The principal focus of the study was to evaluate the utility of the CDOI for predictive modeling of outcomes in a live clinical setting. Implementation factors were also addressed within the framework of the Theory of Planned Behavior by linking adoption rates to implementation practices and clinician perceptions. The results showed that the CDOI does contain significant capacity to predict outcome delta over time based on baseline and early change scores in a large, real-world clinical setting, as suggested in previous research. The implementation analysis revealed a number of critical factors affecting successful implementation and adoption of the CDOI outcome measure, though there was a notable disconnect between clinician intentions and actual behavior. Most importantly, the predictive capacity of the CDOI underscores the utility of direct client feedback measures such as PROs and their potential use as the basis for next generation clinical decision support tools and personalized treatment approaches.

  2. Wetland Flow and Salinity Budgets and Elements of a Decision Support System toward Implementation of Real-Time Seasonal Wetland Salinity Management

    SciTech Connect (OSTI)

    Quinn, N.W.T.; Ortega, R.; Rahilly, P.; Johnson, C.B.

    2011-12-17T23:59:59.000Z

    The project has provided science-based tools for the long-term management of salinity in drainage discharges from wetlands to the San Joaquin River. The results of the project are being used to develop best management practices (BMP) and a decision support system to assist wetland managers adjust the timing of salt loads delivered to the San Joaquin River during spring drawdown. Adaptive drainage management scheduling has the potential to improve environmental compliance with salinity objectives in the Lower San Joaquin River by reducing the frequency of violation of Vernalis salinity standards, especially in dry and critically dry years. The paired approach to project implementation whereby adaptively managed and traditional practices were monitored in a side-by-side fashion has provided a quantitative measure of the impacts of the project on the timing of salt loading to the San Joaquin River. The most significant accomplishments of the project has been the technology transfer to wetland biologists, ditch tenders and water managers within the Grasslands Ecological Area. This ďlearning by doingĒ has build local community capacity within the Grassland Water District and California Department of Fish and Game providing these institutions with new capability to assess and effectively manage salinity within their wetlands while simultaneously providing benefits to salinity management of the San Joaquin River.

  3. Optimal Model-Based Production Planning

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1 Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor;2 Outline Introduction Problem Statement Refinery Planning Model Development LP Planning Models NLP Planning Models Conclusion #12;3 Introduction Refinery production planning models Optimizing refinery

  4. Optimal Model-Based Production Planning

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1 Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor Steam distillation column Conclusion #12;3 Introduction Refinery production planning models Optimizing refinery operation Crude selection Maximizing profit; minimizing cost LP-based, linear process unit

  5. Decision Summaries

    Broader source: Energy.gov (indexed) [DOE]

    ohadecision-summaries Office of Hearings and Appeals 1000 Independence Ave., SW Washington, DC, 20585 202-287-1566 en Summary of Decisions - October 6, 2014 - October 10, 2014...

  6. With the support of the Advanced Decision Architectures Collaborative Technology Alliance sponsored by the U.S. Army Research Laboratory (DAAD19-01-2-0009) and the Office of Naval Research

    E-Print Network [OSTI]

    economic decision making. Economic decision making should be modeled as a learning process, involving more in human-like behavior representation, they have rarely been used to study economic decision making decision situations, like economic settings. This chapter will demonstrate the potential of ACT-R to model

  7. Model-Based Transient Calibration Optimization for Next Generation...

    Broader source: Energy.gov (indexed) [DOE]

    Model-Based Transient Calibration Optimization for Next Generation Diesel Engines Model-Based Transient Calibration Optimization for Next Generation Diesel Engines 2005 Diesel...

  8. application models based: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    the potentials and limits Bryson, Joanna J. 2 Model-Based Vulnerability Testing for Web Applications Physics Websites Summary: Model-Based Vulnerability Testing for Web...

  9. Demonstrating and Validating a Next Generation Model-Based Controller...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    and Validating a Next Generation Model-Based Controller for Fuel Efficient, Low Emissions Diesel Engines Demonstrating and Validating a Next Generation Model-Based Controller for...

  10. Optimal Model-Based Production Planning

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1 Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor Distillation Column FI Model Conclusion #12;3 Introduction Refinery production planning models Optimizing refinery operation Crude selection Maximizing profit; minimizing cost LP-based, linear process unit

  11. Optimal Model-Based Production Planning

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor: Ignacio;Outline Introduction Refinery Planning Model Development LP Planning Models NLP Planning Models FI Model Aggregate Model Conclusion & Future work 2 #12;3 Introduction Refinery production planning

  12. Optimal Model-Based Production Planning for

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1 1 Optimal Model-Based Production Planning for Refinery Operation Abdulrahman Alattas Advisor to refinery profit and economics Refinery production planning models Operation optimization Crude selection Integrate scheduling into planning model Current Project collaboration with BP Goal: develop a refinery

  13. Lecture outline Support vector machines

    E-Print Network [OSTI]

    Terzi, Evimaria

    Lecture outline · Support vector machines #12;Support Vector Machines · Find a linear hyperplane (decision boundary) that will separate the data #12;Support Vector Machines · One Possible Solution #12;Support Vector Machines · Another possible solution #12;Support Vector Machines · Other possible solutions

  14. Lecture outline Support vector machines

    E-Print Network [OSTI]

    Terzi, Evimaria

    Lecture outline · Support vector machines #12;Support Vector Machines · Find a linear hyperplane (decision boundary) that will separate the data #12;Support Vector Machines · One Possible Solution B1 #12;Support Vector Machines · Another possible solution B2 #12;Support Vector Machines · Other possible

  15. An approach to model validation and model-based prediction -- polyurethane foam case study.

    SciTech Connect (OSTI)

    Dowding, Kevin J.; Rutherford, Brian Milne

    2003-07-01T23:59:59.000Z

    Enhanced software methodology and improved computing hardware have advanced the state of simulation technology to a point where large physics-based codes can be a major contributor in many systems analyses. This shift toward the use of computational methods has brought with it new research challenges in a number of areas including characterization of uncertainty, model validation, and the analysis of computer output. It is these challenges that have motivated the work described in this report. Approaches to and methods for model validation and (model-based) prediction have been developed recently in the engineering, mathematics and statistical literatures. In this report we have provided a fairly detailed account of one approach to model validation and prediction applied to an analysis investigating thermal decomposition of polyurethane foam. A model simulates the evolution of the foam in a high temperature environment as it transforms from a solid to a gas phase. The available modeling and experimental results serve as data for a case study focusing our model validation and prediction developmental efforts on this specific thermal application. We discuss several elements of the ''philosophy'' behind the validation and prediction approach: (1) We view the validation process as an activity applying to the use of a specific computational model for a specific application. We do acknowledge, however, that an important part of the overall development of a computational simulation initiative is the feedback provided to model developers and analysts associated with the application. (2) We utilize information obtained for the calibration of model parameters to estimate the parameters and quantify uncertainty in the estimates. We rely, however, on validation data (or data from similar analyses) to measure the variability that contributes to the uncertainty in predictions for specific systems or units (unit-to-unit variability). (3) We perform statistical analyses and hypothesis tests as a part of the validation step to provide feedback to analysts and modelers. Decisions on how to proceed in making model-based predictions are made based on these analyses together with the application requirements. Updating modifying and understanding the boundaries associated with the model are also assisted through this feedback. (4) We include a ''model supplement term'' when model problems are indicated. This term provides a (bias) correction to the model so that it will better match the experimental results and more accurately account for uncertainty. Presumably, as the models continue to develop and are used for future applications, the causes for these apparent biases will be identified and the need for this supplementary modeling will diminish. (5) We use a response-modeling approach for our predictions that allows for general types of prediction and for assessment of prediction uncertainty. This approach is demonstrated through a case study supporting the assessment of a weapons response when subjected to a hydrocarbon fuel fire. The foam decomposition model provides an important element of the response of a weapon system in this abnormal thermal environment. Rigid foam is used to encapsulate critical components in the weapon system providing the needed mechanical support as well as thermal isolation. Because the foam begins to decompose at temperatures above 250 C, modeling the decomposition is critical to assessing a weapons response. In the validation analysis it is indicated that the model tends to ''exaggerate'' the effect of temperature changes when compared to the experimental results. The data, however, are too few and to restricted in terms of experimental design to make confident statements regarding modeling problems. For illustration, we assume these indications are correct and compensate for this apparent bias by constructing a model supplement term for use in the model-based predictions. Several hypothetical prediction problems are created and addressed. Hypothetical problems are used because no guidance was provided concern

  16. ILLINOIS RAILROAD ENGINEERING A Quantitative Decision Support

    E-Print Network [OSTI]

    Barkan, Christopher P.L.

    between capital investment and delay cost Link (sub) properties Alternatives generator Capacity expansion alternatives (cost & additional capacity) Estimated future traffic (trains/day/OD) Budget Investment Selection: ≠ Infrastructure ≠ Equipment ≠ Train dispatching, traffic mix ≠ Human resources Network Capacity must be increased

  17. Decision support for the general aviation pilot

    E-Print Network [OSTI]

    Alcorn, W. P.; Lee, K. A.; Ward, D. T.; Trang, J. A.; Krishnamurthy, K.; Crump, J. W.; Branham, P. A.; Woo, D. L. Y.; Ren-Jye Yu; Robbins, A. C.; Painter, John H.; Kelly, W. E. III

    1997-10-12T23:59:59.000Z

    of ATC procedures, aircraft operating procedures and limitations, and aircraft performance to infer current flight operating ďmodeĒ without direct pilot intervention or input. A flight mode interpreter (FMI) enables automatic display selection, pilot...

  18. Sandia National Laboratories: Decision Support for Integrated...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    platforms (i.e., system dynamics to detailed energywater management models) with geospatial databases and visualization tools. Further, this framework will integrate analysis...

  19. Integrated decision support model for global sourcing

    E-Print Network [OSTI]

    Mroczkowski, Victor A. (Victor Adam)

    2008-01-01T23:59:59.000Z

    Over the last decade, the U.S. aircraft industry has experienced increasing levels of international integration as companies seek to access global talent and resources, cut production costs, spread financial risk, and ...

  20. Decision Support System for Fighter Pilots

    E-Print Network [OSTI]

    parts of the electronic warfare domain. A brief description of this domain is given. It contains is detected the pilot may choose to deploy electronic countermeasures to avoid the impact of the missile, and the availability of countermeasures. Radar systems, guidance of missiles, and electronic countermeasures are all

  1. Model-based Quality Assurance of Automotive Software

    E-Print Network [OSTI]

    Jurjens, Jan

    Model-based Quality Assurance of Automotive Software Jan J√ľrjens1 , Daniel Reiss2 , David (Germany) #12;Jan J√ľrjens et al.: Model-based Quality Assurance of Automotive Software 2 The Problem (Meta. #12;Jan J√ľrjens et al.: Model-based Quality Assurance of Automotive Software 3 The Problem (Meta

  2. Model based control of a coke battery

    SciTech Connect (OSTI)

    Stone, P.M.; Srour, J.M.; Zulli, P. [BHP Research, Mulgrave (Australia). Melbourne Labs.; Cunningham, R.; Hockings, K. [BHP Steel, Pt Kembla, New South Wales (Australia). Coal and Coke Technical Development Group

    1997-12-31T23:59:59.000Z

    This paper describes a model-based strategy for coke battery control at BHP Steel`s operations in Pt Kembla, Australia. The strategy uses several models describing the battery thermal and coking behavior. A prototype controller has been installed on the Pt Kembla No. 6 Battery (PK6CO). In trials, the new controller has been well accepted by operators and has resulted in a clear improvement in battery thermal stability, with a halving of the standard deviation of average battery temperature. Along with other improvements to that battery`s operations, this implementation has contributed to a 10% decrease in specific battery energy consumption. A number of enhancements to the low level control systems on that battery are currently being undertaken in order to realize further benefits.

  3. Energy Band Model Based on Effective Mass

    E-Print Network [OSTI]

    Viktor Ariel

    2012-09-06T23:59:59.000Z

    In this work, we demonstrate an alternative method of deriving an isotropic energy band model using a one-dimensional definition of the effective mass and experimentally observed dependence of mass on energy. We extend the effective mass definition to anti-particles and particles with zero rest mass. We assume an often observed linear dependence of mass on energy and derive a generalized non-parabolic energy-momentum relation. The resulting non-parabolicity leads to velocity saturation at high particle energies. We apply the energy band model to free relativistic particles and carriers in solid state materials and obtain commonly used dispersion relations and experimentally confirmed effective masses. We apply the model to zero rest mass particles in graphene and propose using the effective mass for photons. Therefore, it appears that the new energy band model based on the effective mass can be applied to relativistic particles and carriers in solid state materials.

  4. IBRD Operational Decision Framework

    SciTech Connect (OSTI)

    Greenwalt, R; Hibbard, W; Raber, E; Carlsen, T; Folks, K; MacQueen, D; Mancieri, S; Bunt, T; Richards, J; Hirabayashi-Dethier, J

    2010-11-12T23:59:59.000Z

    The IBRD Operational Decision Framework in this document is an expansion of an emerging general risk management framework under development by an interagency working group. It provides the level of detail necessary to develop a general Consequence Management Guidance Document for biological contamination remediation and restoration. It is the intent of this document to support both wide area and individual site remediation and restoration activities. This product was initiated as a portion of the IBRD Task 1 Systems Analysis to aid in identification of wide area remediation and restoration shortcomings and gaps. The draft interagency general risk management framework was used as the basis for the analysis. The initial Task 1 analysis document expanded the draft interagency framework to a higher level of resolution, building on both the logic structure and the accompanying text explanations. It was then employed in a qualitative manner to identify responsible agencies, data requirements, tool requirements, and current capabilities for each decision and task. This resulted in identifying shortcomings and gaps needing resolution. Several meetings of a joint LLNL/SNL working group reviewed and approved the initial content of this analysis. At the conclusion of Task 1, work continued on the expanded framework to generate this Operational Decision Framework which is consistent with the existing interagency general risk management framework. A large LLNL task group met repeatedly over a three-month period to develop the expanded framework, coordinate the framework with the biological remediation checklist, and synchronize the logic with the Consequence Management Plan table of contents. The expanded framework was briefed at a large table top exercise reviewing the interagency risk management framework. This exercise had representation from major US metropolitan areas as well as national agencies. This product received positive comments from the participants. Upon completion of the Operational Decision Framework, another joint LLNL/SNL working group conducted a day-long review. Identified modifications were made to the document, resulting in the included product.

  5. The Model-based Approach to Computer-aided Medical Decision

    E-Print Network [OSTI]

    Lucas, Peter

    ­ p.10/23 #12;Chain Graph Example Influenza (I) causes coughing (C), where coughing is known as a possible cause for hoarseness (H). In addition, coughing is known to be associated with dyspnoea (shortness

  6. 2000 Records of Decision

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    History Book Records of Decision Tribal Affairs 2000 Records of Decision Fourmile Hill Geothermal Development Project Power Purchase and Transmission Service Agreements -...

  7. Model Based Control of Refrigeration Systems

    E-Print Network [OSTI]

    Lars Finn; Sloth Larsen; Central R

    2005-01-01T23:59:59.000Z

    Thybo has supervised the work. I would especially like to express my gratitude to my good friend, dive mate, college and supervisor Claus Thybo, for his invaluable help, support and inspiration. His guidance and support has truly been ideal. Without his presence this project would not have been at all and it wouldnít have been so enjoyable. I would like to thank Jakob Stoustrup for sharing of his profound knowledge within control theory, that has improved the acad-emic level of this thesis. Moreover I would like to thank Henrik Rasmussen, who has more than a lifetimes experience within application of control theory. His sincere and eager interest in my work has truly been a source of inspiration. I would like to thank Professor Manfred Morari for giving me the opportunity to stay at the Automatic Control Laboratory, ETH ZŁrich and for giving me valuable guidance while I was there. I was amazed by the unique scientific milieu and the high academic level there. I would especially like to thank Tobias Geyer, who contributed with many ideas and a lot of help, while I was at the ETH. I would furthermore like to thank him for taking of his valuable time at the ending of his Ph.D.-study to come and visit Danfoss

  8. Fuel Cell System Improvement for Model-Based Diagnosis Analysis

    E-Print Network [OSTI]

    Paris-Sud XI, Universitť de

    Fuel Cell System Improvement for Model-Based Diagnosis Analysis Philippe Fiani & Michel Batteux of a model of a fuel cell system, in order to make it usable for model- based diagnosis methods. A fuel cell for the fuel cell stack but also for the system environment. In this paper, we present an adapted library which

  9. Institute for Software Technology Model-Based Testing

    E-Print Network [OSTI]

    t Institute for Software Technology Model-Based Testing Ausgewählte Kapitel Softwaretechnologie 2 2013/14 B.K. Aichernig Model-Based Testing 1 / 38 #12;t Institute for Software Technology Testing Testing: checking or measuring some quality characteristics of an executing system by performing

  10. Analysis and Model-Based Control of Servomechanisms With Friction

    E-Print Network [OSTI]

    Papadopoulos, Evangelos

    Analysis and Model-Based Control of Servomechanisms With Friction Evangelos G. Papadopoulos e Engineering, National Technical University of Athens, 15780 Athens, Greece Friction is responsible for several, model-based feedback compensation is studied for servomechanism tracking tasks. Several kinetic friction

  11. Agent Based Models for Enterprise Wide Optimization and Decision SupportOptimization and Decision Support

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Chain Enterprise · Refinery (re)scheduling · Disruption management Planning / Scheduling Supply Chain sourcing Primary production Secondary production Warehouses Retailers Customers 11 #12;Refinery Supply Chain Logistics Provider C Refinery BLogistics Naphtha Brent CrudeProvider A Ethylene Refinery

  12. Automated verification of model-based programs under uncertainty

    E-Print Network [OSTI]

    Mahtab, Tazeen, 1981-

    2004-01-01T23:59:59.000Z

    Highly robust embedded systems have been enabled through software executives that have the ability to reason about their environment. Those that employ the model-based autonomy paradigm automatically diagnose and plan ...

  13. Binaural model-based speech intelligibility enhancement and assessment in

    E-Print Network [OSTI]

    #12;Binaural model-based speech intelligibility enhancement and assessment in hearing aids beamforming and the effect on binaural cues and speech intelligibility . . . . . . . . . . 31 2.3.4 Cepstral smoothing of masks . . . . . . . . . . . . . . . . . . 35 2.4 Binaural CASA speech

  14. A Geothermal Field Model Based On Geophysical And Thermal Prospectings...

    Open Energy Info (EERE)

    Model Based On Geophysical And Thermal Prospectings In Nea Kessani (Ne Greece) Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal Article: A Geothermal...

  15. 16.410 / 16.413 Principles of Autonomy and Decision Making, Fall 2003

    E-Print Network [OSTI]

    Williams, Brian C.

    This course surveys a variety of reasoning, optimization, and decision-making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their applications, ...

  16. 16.410 / 16.413 Principles of Autonomy and Decision Making, Fall 2005

    E-Print Network [OSTI]

    Williams, Brian

    This course surveys a variety of reasoning, optimization, and decision-making methodologies for creating highly autonomous systems and decision support aids. The focus is on principles, algorithms, and their applications, ...

  17. Decision insight into stakeholder conflict for ERN.

    SciTech Connect (OSTI)

    Siirola, John; Tidwell, Vincent Carroll; Benz, Zachary O.; Stansbury, Melanie; Richards, Elizabeth H.; Turnley, Jessica Glicken (Galisteo Consulting); Warrender, Christina E.; Morrow, James Dan

    2012-02-01T23:59:59.000Z

    Participatory modeling has become an important tool in facilitating resource decision making and dispute resolution. Approaches to modeling that are commonly used in this context often do not adequately account for important human factors. Current techniques provide insights into how certain human activities and variables affect resource outcomes; however, they do not directly simulate the complex variables that shape how, why, and under what conditions different human agents behave in ways that affect resources and human interactions related to them. Current approaches also do not adequately reveal how the effects of individual decisions scale up to have systemic level effects in complex resource systems. This lack of integration prevents the development of more robust models to support decision making and dispute resolution processes. Development of integrated tools is further hampered by the fact that collection of primary data for decision-making modeling is costly and time consuming. This project seeks to develop a new approach to resource modeling that incorporates both technical and behavioral modeling techniques into a single decision-making architecture. The modeling platform is enhanced by use of traditional and advanced processes and tools for expedited data capture. Specific objectives of the project are: (1) Develop a proof of concept for a new technical approach to resource modeling that combines the computational techniques of system dynamics and agent based modeling, (2) Develop an iterative, participatory modeling process supported with traditional and advance data capture techniques that may be utilized to facilitate decision making, dispute resolution, and collaborative learning processes, and (3) Examine potential applications of this technology and process. The development of this decision support architecture included both the engineering of the technology and the development of a participatory method to build and apply the technology. Stakeholder interaction with the model and associated data capture was facilitated through two very different modes of engagement, one a standard interface involving radio buttons, slider bars, graphs and plots, while the other utilized an immersive serious gaming interface. The decision support architecture developed through this project was piloted in the Middle Rio Grande Basin to examine how these tools might be utilized to promote enhanced understanding and decision-making in the context of complex water resource management issues. Potential applications of this architecture and its capacity to lead to enhanced understanding and decision-making was assessed through qualitative interviews with study participants who represented key stakeholders in the basin.

  18. A Model-Based Signal Processing Approach to Nuclear Explosion Monitoring

    SciTech Connect (OSTI)

    Rodgers, A; Harris, D; Pasyanos, M

    2007-03-14T23:59:59.000Z

    This report describes research performed under Laboratory Research and Development Project 05-ERD-019, entitled ''A New Capability for Regional High-Frequency Seismic Wave Simulation in Realistic Three-Dimensional Earth Models to Improve Nuclear Explosion Monitoring''. A more appropriate title for this project is ''A Model-Based Signal Processing Approach to Nuclear Explosion Monitoring''. This project supported research for a radically new approach to nuclear explosion monitoring as well as allowed the development new capabilities in computational seismology that can contribute to NNSA/NA-22 Programs.

  19. Risk-Informed Decisions

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Laboratory's Risk-Informed Decisions division study the interaction between human and machines to determine how that relationship can be improved in order to enhance performance...

  20. 2008 Records of Decision

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    8-Records-of-Decision Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives Expand Projects & Initiatives Finance...

  1. 2006 Records of Decision

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    6-Records-of-Decision Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives Expand Projects & Initiatives Finance...

  2. 2007 Records of Decision

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    7-Records-of-Decision Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives Expand Projects & Initiatives Finance...

  3. 2002 Records of Decision

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    2-Records-of-Decision Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives Expand Projects & Initiatives Finance...

  4. 2003 Records of Decision

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    3-Records-of-Decision Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives Expand Projects & Initiatives Finance...

  5. 1995 Records of Decision

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    5-Records-of-Decision Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives Expand Projects & Initiatives Finance...

  6. 1996 Records of Decision

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    6-Records-of-Decision Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives Expand Projects & Initiatives Finance...

  7. 2005 Records of Decision

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    5-Records-of-Decision Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives Expand Projects & Initiatives Finance...

  8. 2012 Records of Decision

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    2-Records-of-Decision Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives Expand Projects & Initiatives Finance...

  9. 1997 Records of Decision

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    7-Records-of-Decision Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives Expand Projects & Initiatives Finance...

  10. 2010 Records of Decision

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    0-Records-of-Decision Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives Expand Projects & Initiatives Finance...

  11. 2013 Records of Decision

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    3-Records-of-Decision Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives Expand Projects & Initiatives Finance...

  12. 2001 Records of Decision

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    1-Records-of-Decision Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives Expand Projects & Initiatives Finance...

  13. 2009 Records of Decision

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    9-Records-of-Decision Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives Expand Projects & Initiatives Finance...

  14. 1999 Records of Decision

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    9-Records-of-Decision Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives Expand Projects & Initiatives Finance...

  15. 2004 Records of Decision

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    4-Records-of-Decision Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives Expand Projects & Initiatives Finance...

  16. 2011 Records of Decision

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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  17. International Entry Decision for Design Firms

    E-Print Network [OSTI]

    Tohidi Vahdat, Amin

    2013-11-22T23:59:59.000Z

    Contractors TCE Transaction Cost Economics vii TABLE OF CONTENT Page ABSTRACT .......................................................................................................................ii DEDICATION... as ? Transaction Cost Economics Theory (TCE) ? International risk management ? Decision support system for international projects ? Organizational issues in global projects This research required an extensive literature review on global AEC projects as well...

  18. Predictive clothing insulation model based on outdoor air and indoor operative temperatures

    E-Print Network [OSTI]

    Schiavon, Stefano; Lee, Kwang Ho

    2012-01-01T23:59:59.000Z

    2012) Predictive clothing insulation model based on outdoorPredictive clothing insulation model based on outdoor airpredictive models of clothing insulation have been developed

  19. Fuzzy Multicriteria Decision Making1 Vania Peneva, Ivan Popchev

    E-Print Network [OSTI]

    Borissova, Daniela

    vary in time. Fuzzy sets and fuzzy logic are powerful mathematical tools for modeling and control- ling1 6 Fuzzy Multicriteria Decision Making1 Vania Peneva, Ivan Popchev Institute of Information- searching of models for decision making support in multicriteria problems under uncertainties from fuzzy

  20. Analysis of Time Series Using Compact Model-Based Descriptions

    E-Print Network [OSTI]

    Kriegel, Hans-Peter

    Analysis of Time Series Using Compact Model-Based Descriptions Hans-Peter Kriegel, Peer Kr this is a combination of the coefficients 1, . . . , 3 representing the three input time series using a function f-of-the-art compression methods. The results are visually presented in a very concise way so that the user can easily

  1. 3D model-based tracking for UAV indoor localisation

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    3D model-based tracking for UAV indoor localisation C¬īeline Teuli`ere, Eric Marchand, Laurent Eck set toward the peaks of the distribution. Motivated by the UAV indoor localisation problem where GPS signal is not available, we validate the algorithm on real image sequences from UAV flights. Index Terms

  2. Toward optimized code generation through model-based optimization

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Toward optimized code generation through model- based optimization Asma Charfi, Chokri Mraidha.gerard, francois.terrier}@cea.fr Pierre Boulet LIFL, CNRS/INRIA, Universit√© de Lille 1, Parc de la Haute Borne, B√Ęt tools like synthesis of system's application by automatic code generation. Real-Time and Embedded

  3. Model based dependability evaluation for automotive control functions

    E-Print Network [OSTI]

    Schlingloff, Holger

    Model based dependability evaluation for automotive control functions Sasa Vulinovic 1 , Bernd@informatik.hu-berlin.de Abstract In this paper, we study the evaluation of reliability for embedded functions in automotive. In order to assess fault tolerant designs for automotive software it is essential to be able to predict

  4. Model-Based Quality Assurance of Automotive Software

    E-Print Network [OSTI]

    Jurjens, Jan

    Model-Based Quality Assurance of Automotive Software Jan J√ľrjens1 , Daniel Rei√?2 , and David, Germany Abstract. Software in embedded (e.g. automotive) systems requires a high level of reliability to the automotive sector, characterized by strict safety requirements to com- ponents of a motor vehicle (see [5, 16

  5. Model Based Vehicle Tracking for Autonomous Driving in Urban Environments

    E-Print Network [OSTI]

    Model Based Vehicle Tracking for Autonomous Driving in Urban Environments Anna Petrovskaya environments. This paper describes moving vehicle tracking module that we developed for our autonomous driving in this area. DARPA has organized a series of competitions for autonomous vehicles. In 2005, autonomous

  6. Model-based experimental analysis for inter-polymer process

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    ) + Polyethylene (PE) ARCEL TOUGH FLEXIBLE Advanced packaging material Interpenetrating polymer network productModel-based experimental analysis for inter-polymer process CMU: Weijie Lin, Lorenz T. Biegler processed in a sequential way Polymer A Polymer B Project overview Inter-polymer process #12;Project

  7. Model-Based Testing : The Test of Formal Models

    E-Print Network [OSTI]

    Model-Based Testing : The Test of Formal Models Jan Tretmans ESI & Radboud University Nijmegen #12;2 Testing (Software) Testing: checking or measuring some quality characteristics of an executing object by performing experiments in a controlled way w.r.t. a specification tester specification SUT System Under Test

  8. MARQUETTE UNIVERSITY Auditory Model-based Bionic Wavelet Transform

    E-Print Network [OSTI]

    Johnson, Michael T.

    MARQUETTE UNIVERSITY Auditory Model-based Bionic Wavelet Transform For Speech Enhancement A THESIS. Therefore applying this method to speech enhancement may lead to a promising future in this field. Spectral subtraction methods have been widely used in speech enhancement, but all are notorious for unexpected music

  9. Continuing Development of Models Based on Spherical Geodesic Grids

    E-Print Network [OSTI]

    Collett Jr., Jeffrey L.

    Continuing Development of Models Based on Spherical Geodesic Grids Ross Heikes, Joon-Hee Jung, C to finite-difference operators 3) Some numerical results from an aqua-planet simulation #12;Part1: Geodesic -- array based The geodesic grid can be mapped to a set of square arrays. 1 3 4 5 6 7 8 9 10 11 12 13 14 15

  10. Extracting Business Rules from COBOL: A Model-Based Tool

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Extracting Business Rules from COBOL: A Model-Based Tool Valerio Cosentino AtlanMod, INRIA, EMN and we provide a set of model transformations to identify and visualize the embedded business rules at this point. This model will be then manipulated in the next steps to extract the business rules

  11. Extracting Business Rules from COBOL: A Model-Based Framework

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Extracting Business Rules from COBOL: A Model-Based Framework Valerio Cosentino AtlanMod, INRIA in their Information Systems for their daily operations. This logic im- plements the business rules in place clear which business rules are enforced nor whether rules are still consistent with the current

  12. Using Model-based Assurance to Strengthen Diagnostic Procedures

    E-Print Network [OSTI]

    Lutz, Robyn R.

    Using Model-based Assurance to Strengthen Diagnostic Procedures Robyn Lutz Jet Propulsion Lab diagnostic trees generated from system models are used to help check out diagnostic procedures. Diagnostic procedures are instructions used to isolate failures during operations. Assuring such procedures manually

  13. Genotyping of single nucleotide polymorphism using model-based clustering

    E-Print Network [OSTI]

    Eguchi, Shinto

    Genotyping of single nucleotide polymorphism using model-based clustering H. Fujisawa1 , S. Eguchi1-8455, Japan ABSTRACT Motivation: Single nucleotide polymorphisms have been investigated as biological markers Single nucleotide polymorphisms (SNPs) have been in- vestigated as biological markers to identify

  14. ADAPTIVE MODEL BASED CONTROL FOR WASTEWATER TREATMENT PLANTS

    E-Print Network [OSTI]

    Boucherie, Richard J.

    ADAPTIVE MODEL BASED CONTROL FOR WASTEWATER TREATMENT PLANTS Arie de Niet1 , Maartje van de Vrugt2.j.boucherie@utwente.nl Abstract In biological wastewater treatment, nitrogen and phosphorous are removed by activated sludge considerably to the increase of energy-efficiency in wastewater treatment. To this end, we introduce

  15. Model-based Enhancement of Lighting Conditions in Image Sequences

    E-Print Network [OSTI]

    Eisert, Peter

    under different lighting conditions which complicates the comparison severely [1­3]. Similarly, 3-DModel-based Enhancement of Lighting Conditions in Image Sequences Peter Eisert and Bernd Girod model-based technique for estimating and manipulating the lighting in an image sequence. The current

  16. Expediting model-based optoacoustic reconstructions with tomographic symmetries

    SciTech Connect (OSTI)

    Lutzweiler, Christian; DeŠn-Ben, Xosť LuŪs; Razansky, Daniel, E-mail: dr@tum.de [Institute for Biological and Medical Imaging (IBMI), Helmholtz Center Munich, Ingolstšdter Landstrasse 1, 85764 Neuherberg (Germany) [Institute for Biological and Medical Imaging (IBMI), Helmholtz Center Munich, Ingolstšdter Landstrasse 1, 85764 Neuherberg (Germany); Faculty of Medicine, Technical University of Munich, Ismaninger Strasse 22, 81675 Munich (Germany)

    2014-01-15T23:59:59.000Z

    Purpose: Image quantification in optoacoustic tomography implies the use of accurate forward models of excitation, propagation, and detection of optoacoustic signals while inversions with high spatial resolution usually involve very large matrices, leading to unreasonably long computation times. The development of fast and memory efficient model-based approaches represents then an important challenge to advance on the quantitative and dynamic imaging capabilities of tomographic optoacoustic imaging. Methods: Herein, a method for simplification and acceleration of model-based inversions, relying on inherent symmetries present in common tomographic acquisition geometries, has been introduced. The method is showcased for the case of cylindrical symmetries by using polar image discretization of the time-domain optoacoustic forward model combined with efficient storage and inversion strategies. Results: The suggested methodology is shown to render fast and accurate model-based inversions in both numerical simulations andpost mortem small animal experiments. In case of a full-view detection scheme, the memory requirements are reduced by one order of magnitude while high-resolution reconstructions are achieved at video rate. Conclusions: By considering the rotational symmetry present in many tomographic optoacoustic imaging systems, the proposed methodology allows exploiting the advantages of model-based algorithms with feasible computational requirements and fast reconstruction times, so that its convenience and general applicability in optoacoustic imaging systems with tomographic symmetries is anticipated.

  17. Nested Loop Algorithm for Parallel Model Based Iterative Reconstruction

    E-Print Network [OSTI]

    Nested Loop Algorithm for Parallel Model Based Iterative Reconstruction Zhou Yu, Lin Fu, Debashish. In this paper, we propose a fast converging simultaneous-update algorithm using a nested loop structure tomography, iterative reconstruction, nested loop, preconditioner. I. INTRODUCTION Recent applications

  18. Model-Based Dependability Analysis of Programmable Drug Infusion Pumps

    E-Print Network [OSTI]

    Sankaranarayanan, Sriram

    Model-Based Dependability Analysis of Programmable Drug Infusion Pumps Sriram Sankaranarayanan.lastname@colorado.edu Abstract. Infusion pumps are commonly used in home/hospital care to inject drugs into a patient a case-study involving an infusion pump used to manage pain through the infusion of analgesic drugs

  19. A conformance relation for model-based testing of PLC

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A conformance relation for model-based testing of PLC Anais Guignard Jean-Marc Faure Ecole-marc.faure@lurpa.ens-cachan.fr) Abstract: This paper focuses on the execution of conformance testing of PLC with I/O scanning which of conformance test of real devices, like Pro- grammable Logic Controllers (PLC 1 ) that execute a con- trol code

  20. E-Print Network 3.0 - automated clinical decision Sample Search...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    life-cycle of both... clinical decisions and clinical processes execution in the field of pediatric oncol- ogy treatments... and Scheduling is an enabling technol- ogy to support...

  1. UNDERSTANDING HOME RENOVATION DECISIONS

    E-Print Network [OSTI]

    Watson, Andrew

    UNDERSTANDING HOME RENOVATION DECISIONS - A Research Project - Background to Our Research Energy to renovate their homes. We're interested in energy efficiency, but in all other efficient renova/ons can lower energy bills, improve comfort by reducing dra

  2. Essays in decision making

    E-Print Network [OSTI]

    Chang, Tom Y., 1976-

    2009-01-01T23:59:59.000Z

    This thesis explores the impact of individual decision making on the functioning of firms and markets. The first chapter examines how deviations from strict rationality by individuals impact the market for consumer goods. ...

  3. Sustainability Support

    Broader source: Energy.gov [DOE]

    Sustainability Support serves as a corporate technical assistance, coordination, and integration resource to support line organizations in the resolution of sustainability issues and management concerns.

  4. Implications for decision making: Industrial sector perspectives

    SciTech Connect (OSTI)

    Mangelsdorf, F.E. [Texaco, Inc., Beacon, NY (United States)

    1992-12-31T23:59:59.000Z

    Implications for decision making in areas related to policy towards greenhouse gas emissions are discussed from the perspective of the industrial sector. Industry is presented as supportive of energy conservation measures in spite of the large uncertainties in the global warming issue. Perspectives of developed and developing countries are contrasted, and carbon dioxide emissions are compared. Socioeconomic implications of reducing greenhouse gas emissions, particularly in the form of higher prices for goods and services, are outlined.

  5. A probabilistic graphical model based stochastic input model construction

    SciTech Connect (OSTI)

    Wan, Jiang [Materials Process Design and Control Laboratory, Sibley School of Mechanical and Aerospace Engineering, 101 Frank H.T. Rhodes Hall, Cornell University, Ithaca, NY 14853-3801 (United States); Zabaras, Nicholas, E-mail: nzabaras@gmail.com [Materials Process Design and Control Laboratory, Sibley School of Mechanical and Aerospace Engineering, 101 Frank H.T. Rhodes Hall, Cornell University, Ithaca, NY 14853-3801 (United States); Center for Applied Mathematics, 657 Frank H.T. Rhodes Hall, Cornell University, Ithaca, NY 14853-3801 (United States)

    2014-09-01T23:59:59.000Z

    Model reduction techniques have been widely used in modeling of high-dimensional stochastic input in uncertainty quantification tasks. However, the probabilistic modeling of random variables projected into reduced-order spaces presents a number of computational challenges. Due to the curse of dimensionality, the underlying dependence relationships between these random variables are difficult to capture. In this work, a probabilistic graphical model based approach is employed to learn the dependence by running a number of conditional independence tests using observation data. Thus a probabilistic model of the joint PDF is obtained and the PDF is factorized into a set of conditional distributions based on the dependence structure of the variables. The estimation of the joint PDF from data is then transformed to estimating conditional distributions under reduced dimensions. To improve the computational efficiency, a polynomial chaos expansion is further applied to represent the random field in terms of a set of standard random variables. This technique is combined with both linear and nonlinear model reduction methods. Numerical examples are presented to demonstrate the accuracy and efficiency of the probabilistic graphical model based stochastic input models. - Highlights: ē Data-driven stochastic input models without the assumption of independence of the reduced random variables. ē The problem is transformed to a Bayesian network structure learning problem. ē Examples are given in flows in random media.

  6. Model-based Processing of Microcantilever Sensor Arrays

    SciTech Connect (OSTI)

    Tringe, J W; Clague, D S; Candy, J V; Sinensky, A K; Lee, C L; Rudd, R E; Burnham, A K

    2005-04-27T23:59:59.000Z

    We have developed a model-based processor (MBP) for a microcantilever-array sensor to detect target species in solution. We perform a proof-of-concept experiment, fit model parameters to the measured data and use them to develop a Gauss-Markov simulation. We then investigate two cases of interest, averaged deflection data and multi-channel data. For this evaluation we extract model parameters via a model-based estimation, perform a Gauss-Markov simulation, design the optimal MBP and apply it to measured experimental data. The performance of the MBP in the multi-channel case is evaluated by comparison to a ''smoother'' (averager) typically used for microcantilever signal analysis. It is shown that the MBP not only provides a significant gain ({approx} 80dB) in signal-to-noise ratio (SNR), but also consistently outperforms the smoother by 40-60 dB. Finally, we apply the processor to the smoothed experimental data and demonstrate its capability for chemical detection. The MBP performs quite well, apart from a correctable systematic bias error.

  7. Fan Energy Savings Decisions

    E-Print Network [OSTI]

    Monroe, R. C.

    Axial fans are used for thousands of industrial applications consuming millions of kilowatts daily. The decision that saves dollars is to either automatically change fan speed or change blade pitch to save up to 50 percent of consumed power over a...

  8. Key challenges to model-based design : distinguishing model confidence from model validation

    E-Print Network [OSTI]

    Flanagan, Genevieve (Genevieve Elise Cregar)

    2012-01-01T23:59:59.000Z

    Model-based design is becoming more prevalent in industry due to increasing complexities in technology while schedules shorten and budgets tighten. Model-based design is a means to substantiate good design under these ...

  9. Model-based testing in the automotive industry challenges and solutions

    E-Print Network [OSTI]

    Peleska, Jan - Fachbereich 3

    Test specification System integration testing ­ model-based Test executionTest model Documentation... Requirements System integration testing ­ model-based SUT Sensors/busses Input interfaces Actors/busses Output interfaces #12;9 Overview 1. Model-based system integration testing 2. Integrating external models in the HW

  10. A Bayesian sequential processor approach to spectroscopic portal system decisions

    SciTech Connect (OSTI)

    Sale, K; Candy, J; Breitfeller, E; Guidry, B; Manatt, D; Gosnell, T; Chambers, D

    2007-07-31T23:59:59.000Z

    The development of faster more reliable techniques to detect radioactive contraband in a portal type scenario is an extremely important problem especially in this era of constant terrorist threats. Towards this goal the development of a model-based, Bayesian sequential data processor for the detection problem is discussed. In the sequential processor each datum (detector energy deposit and pulse arrival time) is used to update the posterior probability distribution over the space of model parameters. The nature of the sequential processor approach is that a detection is produced as soon as it is statistically justified by the data rather than waiting for a fixed counting interval before any analysis is performed. In this paper the Bayesian model-based approach, physics and signal processing models and decision functions are discussed along with the first results of our research.

  11. Enabling effective product launch decisions

    E-Print Network [OSTI]

    Akamphon, Sappinandana

    2008-01-01T23:59:59.000Z

    The present work looks into the question of optimizing the performance of product launch decisions-in particular, the decisions of product development duration and manufacturing ramp-up. It presents an innovative model for ...

  12. Implementing Motor Decision Plans

    E-Print Network [OSTI]

    Elliott, R. N.

    Implementing Motor Decision Plans R. Neal Elliott, Ph.D., P.E., Senior Associate American Council for an Energy-Efficient Economy (ACEEE), Washington, DC Abstract The first step to reducing energy costs and increasing reliability in motors... when a motor fails and must either be replaced or repaired. This is represented visually in Figure 1. When purchasing a motor for a new application, time is usually available to consider various options. However, once a motor has failed...

  13. Energy Signal Tool for Decision Support in Building Energy Systems

    SciTech Connect (OSTI)

    Henze, G. P.; Pavlak, G. S.; Florita, A. R.; Dodier, R. H.; Hirsch, A. I.

    2014-12-01T23:59:59.000Z

    A prototype energy signal tool is demonstrated for operational whole-building and system-level energy use evaluation. The purpose of the tool is to give a summary of building energy use which allows a building operator to quickly distinguish normal and abnormal energy use. Toward that end, energy use status is displayed as a traffic light, which is a visual metaphor for energy use that is either substantially different from expected (red and yellow lights) or approximately the same as expected (green light). Which light to display for a given energy end use is determined by comparing expected to actual energy use. As expected, energy use is necessarily uncertain; we cannot choose the appropriate light with certainty. Instead, the energy signal tool chooses the light by minimizing the expected cost of displaying the wrong light. The expected energy use is represented by a probability distribution. Energy use is modeled by a low-order lumped parameter model. Uncertainty in energy use is quantified by a Monte Carlo exploration of the influence of model parameters on energy use. Distributions over model parameters are updated over time via Bayes' theorem. The simulation study was devised to assess whole-building energy signal accuracy in the presence of uncertainty and faults at the submetered level, which may lead to tradeoffs at the whole-building level that are not detectable without submetering.

  14. Microsoft Word - Improved Interfaces and Decision Support_FINAL...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    for the U.S. Department of Energy Office of Electricity Delivery and Energy Reliability March 2007 Office of Electricity Delivery and Energy Reliability Page B5-1 Modern...

  15. RIS-M-2525 DECISION SUPPORT IN SUPERVISORY CONTROL

    E-Print Network [OSTI]

    of the design basis, up-to-date knowledge of plant status and accumulated op- erational experience. INIS

  16. A DECISION SUPPORT SYSTEM (DSS) FOR STORMWATER MANAGEMENT SYSTEM SELECTION

    E-Print Network [OSTI]

    ...................................................................................................... 1 1.1 History of Stormwater Regulations................................................................................................... 12 3.2 Software/Database Development

  17. Using EMR transactional data for personalize clinical decision support

    E-Print Network [OSTI]

    Davidzon, Guido Alejandro

    2010-01-01T23:59:59.000Z

    Collective intelligence techniques have been used to predict stock prices, customer purchasing habits, movies and books preferences for years, yet they remain unused in the medical profession. With the increasing adoption ...

  18. An Intelligent Operator Decision Support System for Abnormal Situation Management

    E-Print Network [OSTI]

    Venkatasubramanian, Venkat

    (FCCU). 1 Introduction Abnormal situation is a general term used for any departure of the process from illustratedon the ModelIV FCCU, the details of which are discussed in Section 3. The conclusions drawn from

  19. Decision support tool for dynamic workforce scheduling in manufacturing environments \\

    E-Print Network [OSTI]

    Malik, Radhika, M. Eng. Massachusetts Institute of Technology

    2013-01-01T23:59:59.000Z

    Scheduling for production in manufacturing environments requires an immense amount of planning. A large number of factors such as part availability, production cost, space constraints and labor supply must be taken into ...

  20. Decision support systems for tool reuse and EOL processes

    E-Print Network [OSTI]

    Gan, Jyeh J

    2007-01-01T23:59:59.000Z

    Intelģ is a manufacturing company that concentrates on the fabrication process of computer chips. Over the years and into the future, Intelģ has gone through multiple and advanced generations of manufacturing technology ...

  1. A Database-driven decision support system: customized mortality prediction

    E-Print Network [OSTI]

    Celi, Leo Anthony G.

    We hypothesize that local customized modeling will provide more accurate mortality prediction than the current standard approach using existing scoring systems. Mortality prediction models were developed for two subsets ...

  2. Decision Support and Optimization in Shutdown and Turnaround Scheduling

    E-Print Network [OSTI]

    Nabben, Reinhard

    heuristic produces. 1 Introduction In chemical manufacturing and petroleum refining, large-scale maintenance with solutions of a time-consuming mixed integer program prove the high quality of the solutions that our fast

  3. Aqua: A Fast Decision Support System Using Approximate Query Answers

    E-Print Network [OSTI]

    Gibbons, Phillip B.

    commercial relational DBMS. Aqua precomputes synopses (special sta- tistical summaries) of the original data and stores them in the DBMS. It provides approximate an- swers (with quality guarantees) by rewriting on top of any SQL- compliant DBMS managing a data warehouse. Aqua pre- computes statistical summaries

  4. Decision Support Tool for Desert Tortoises Near Solar Installations

    E-Print Network [OSTI]

    energy development, this project will help to ensure that stable, secure, and reliable sources in impact. Project Specifics Grant Number: PIR10048 Recipient: Redlands Institute, University

  5. Improving Educational Multimedia Selection Process Using Group Decision Support Systems

    E-Print Network [OSTI]

    Ottawa, University of

    to the adoption of new educational technologies to expand their markets and improve the flexibility and Technology United Arab Emirates staff.mohamed.a@alainuniversity.ac.ae Shervin Shirmohammadi Distributed of their offerings. These technologies include the Internet and Multimedia, used in an educational context

  6. FUTURE POWER GRID INITIATIVE Decision Support for Future

    E-Print Network [OSTI]

    functions to facilitate and document communication. IMPACT During FY11 and 12, the project's investigators software enviro

  7. Human-Automation Path Planning Optimization and Decision Support

    E-Print Network [OSTI]

    Cummings, M.L.

    2011-01-01T23:59:59.000Z

    Path planning is a problem encountered in multiple domains, including unmanned vehicle control, air traffic control, and future exploration missions to the Moon and Mars. Due to the voluminous and complex nature of the ...

  8. Decision support tools for environmentally conscious chemical process design

    E-Print Network [OSTI]

    Cano Ruiz, Josť Alejandro, 1969-

    1999-01-01T23:59:59.000Z

    The environment has emerged as an important determinant of the performance of the modern chemical industry. Process engineering in the 21st century needs to evolve to include environmental issues as part of the design ...

  9. Strategies and Decision Support Systems for Integrating Variable Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectric Coop, Inc Place: MissouriPrograms | OpenSEI) JumpTexas

  10. Government Performance Result Act (GPRA) / Portfolio Decision Support (PDS)

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeatMulti-Dimensional Subject: GuidanceNot Measurement SensitiveofEnergy Use |ROADMAP

  11. Strategies and Decision Support Systems for Integrating Variable...

    Open Energy Info (EERE)

    Topics: Best Practices Resource Type: Lessons learnedbest practices, Publications, Technical report Website: www1.eere.energy.govwindpdfsdoewindintegrationreport.pdf Cost:...

  12. Decision support for operations and maintenance (DSOM) system

    DOE Patents [OSTI]

    Jarrell, Donald B. (Kennewick, WA); Meador, Richard J. (Richland, WA); Sisk, Daniel R. (Richland, WA); Hatley, Darrel D. (Kennewick, WA); Brown, Daryl R. (Richland, WA); Keibel, Gary R. (Richland, WA); Gowri, Krishnan (Richland, WA); Reyes-Spindola, Jorge F. (Richland, WA); Adams, Kevin J. (San Bruno, CA); Yates, Kenneth R. (Lake Oswego, OR); Eschbach, Elizabeth J. (Fort Collins, CO); Stratton, Rex C. (Richland, WA)

    2006-03-21T23:59:59.000Z

    A method for minimizing the life cycle cost of processes such as heating a building. The method utilizes sensors to monitor various pieces of equipment used in the process, for example, boilers, turbines, and the like. The method then performs the steps of identifying a set optimal operating conditions for the process, identifying and measuring parameters necessary to characterize the actual operating condition of the process, validating data generated by measuring those parameters, characterizing the actual condition of the process, identifying an optimal condition corresponding to the actual condition, comparing said optimal condition with the actual condition and identifying variances between the two, and drawing from a set of pre-defined algorithms created using best engineering practices, an explanation of at least one likely source and at least one recommended remedial action for selected variances, and providing said explanation as an output to at least one user.

  13. Decision Support for Operations and Maintenance (DSOM) - Energy Innovation

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed Newcatalyst phasesData Files Data Files 1B&W Y-12 Tymes & AInformation

  14. NREL-Decision-Support Tools Demonstration | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating Solar Powerstories onFocus AreaDataBus Jump to: navigation,

  15. Fayetteville Shale Decision Support and Information System FINAL TECHNICAL REPORT

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicy andExsolutionFES6FYRANDOMOverview The652

  16. Design and Decision Support Tools | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office of Audit Services AuditTransatlantic Relations & the196-2011Waste

  17. Government Performance Result Act (GPRA) / Portfolio Decision Support (PDS)

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in3.pdf Flash2006-53.pdf0.pdfCostAnalysisTweet us! | Department of Energy Got| Department

  18. RETScreen International Clean Energy Decision Support Centre | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExplorationUT-g Grant of Access Permit5-ID-aREC Solar Jump to:andRENERCOLLC Jump

  19. Sandia National Laboratories: decision support for microgrid design

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1development Sandia, NREL Releasehy-drogenmaterialcraftsmanshipmarginalcurrentdecision

  20. Decision Support Tool: Integrated REDD+ accounting frameworks: Nested

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision has beenFfe2fb55-352f-473b-a2dd-50ae8b27f0a6 No revision has been approved forDayton is9548001¬į

  1. UNEP-Bioenergy Decision Support Tool | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:Seadov PtyInformation UC 19-6-401 et seq. - Utah UndergroundPortal

  2. The Role of GIS in Decision Support Systems

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen Owned SmallOf The 2012 Greenbuy Program. | Department ofThe RealityGIS in

  3. Sandia National Laboratories: Decision Support for Integrated Energy-Water

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared0EnergySandia InvolvesDOE-BER NASA Award

  4. Decision Analysis of Dynamic Spectrum Access Rules

    SciTech Connect (OSTI)

    Juan D. Deaton; Luiz A. DaSilva; Christian Wernz

    2011-12-01T23:59:59.000Z

    A current trend in spectrum regulation is to incorporate spectrum sharing through the design of spectrum access rules that support Dynamic Spectrum Access (DSA). This paper develops a decision-theoretic framework for regulators to assess the impacts of different decision rules on both primary and secondary operators. We analyze access rules based on sensing and exclusion areas, which in practice can be enforced through geolocation databases. Our results show that receiver-only sensing provides insufficient protection for primary and co-existing secondary users and overall low social welfare. On the other hand, using sensing information between the transmitter and receiver of a communication link, provides dramatic increases in system performance. The performance of using these link end points is relatively close to that of using many cooperative sensing nodes associated to the same access point and large link exclusion areas. These results are useful to regulators and network developers in understanding in developing rules for future DSA regulation.

  5. Decision Support for IntegratedDecision Support for Integrated WaterWater--Energy PlanningEnergy Planning

    E-Print Network [OSTI]

    Keller, Arturo A.

    of Environmental Science and Management University of California, Santa Barbara April 10, 2009 #12;Project Impetus/Commercial -Industrial -Agriculture -Environment -Energy Energy Providers -Peak/Base -Generation Type -Location -Capacity Surface Water Ground Water Population Growth Industry Fuels Wind Hydro Solar Thermoelectric #12;System

  6. Decision Support for IntegratedDecision Support for Integrated WaterWater--Energy PlanningEnergy Planning

    E-Print Network [OSTI]

    Keller, Arturo A.

    Courtesy of Energy-Water Nexus Energy for Water · Pumping · Treatment · Distribution Water for Energy

  7. Decision support systems based on LSP method In the area of decision support systems, our main emphasis is further

    E-Print Network [OSTI]

    Dujmovic, Jozo J.

    of the 9th Conference on Applied Mathematics (PRIM'94), pp. 269-276, Institute of Mathematics, Novi Sad/Disjunction. Proceedings of Eurofuse Workshop on Data and Knowledge Engineering. Published as Current Issues in Data.J., Optimizing Computer System Configurations. The 24th International Conference for the Resource Management

  8. Building Stakeholder Trust: Defensible Government Decisions - 13110

    SciTech Connect (OSTI)

    Franklin, Victor A. [Savannah River Remediation LLC, Bldg. 705-1C, Aiken, SC 29808 (United States)] [Savannah River Remediation LLC, Bldg. 705-1C, Aiken, SC 29808 (United States)

    2013-07-01T23:59:59.000Z

    Administrative decisions must be grounded in reasonable expectations, founded on sound principles, and bounded by societal norms. Without these first principles, attaining and retaining public trust is a Herculean task. Decisions made by governmental administrators must be both transparent and defensible: without the former the agency will lose the public's trust and support (possibly prompting a legal challenge to the decision) and without the latter the decision may fail to withstand judicial scrutiny. This presentation and accompanying paper delves into the process by which governmental decisions can achieve both defensibility and openness through building stakeholder trust with transparency. Achieving and maintaining stakeholder trust is crucial, especially in the environs of nuclear waste management. Proving confidence, stability, and security to the surrounding citizenry as well as those throughout the country is the goal of governmental nuclear waste remediation. Guiding administrative decision-making processes and maintaining a broad bandwidth of communication are of incalculable importance to all those charged with serving the public, but are especially essential to those whose decisional impacts will be felt for millennia. A strong, clear, and concise administrative record documenting discrete decisions and overarching policy choices is the strongest defense to a decisional challenge. However, this can be accomplished using transparency as the fundamental building block. This documentation allows the decision-makers to demonstrate the synthesis of legal and technical challenges and fortifies the ground from which challenges will be defended when necessary. Further, administrative actions which capture the public's interest and captivate that interest throughout the process will result in a better-informed, more deeply-involved, and more heavily-invested group of interested parties. Management of information, involvement, and investment on the front-end of the process reaps rewards far more efficiently than attempts to assuage and mitigate the concerns of those parties after the fact and there are a number of tools Savannah River Remediation (SRR) has deployed that render transparency an ally in this context. The makers, applicators, and beneficiaries of policies and decisions will all benefit from strong administrative records which document decisional choices in an open and transparent manner and from timely, up-front management of concerns of interested parties. The strongest defense to decisional challenges is an ability to demonstrate the basis of the decision and the reason(s) that the decision was chosen over other alternatives. Providing a sound basis for defending challenges rather than avoiding or fighting over them allows the deciding entity the greatest opportunity to produce value for its customer. Often, a transparent process that invites public participation and is open for public review and comment will thwart challenge genesis. An entity that has to devote resources to defending its choices obviously cannot utilize those resources to further its mission. (authors)

  9. Dynamic predictive clothing insulation models based on outdoor air and indoor operative temperatures

    E-Print Network [OSTI]

    Schiavon, Stefano; Lee, Kwang Ho

    2012-01-01T23:59:59.000Z

    predictive clothing insulation models based on outdoor airrange of the clothing insulation calculated for eachbuilding). Figure 8 Clothing insulation versus dress code [

  10. A language for functional interpretation of model based simulation Jonathan Bell a

    E-Print Network [OSTI]

    Snooke, Neal

    analysis, FMEA, Model based simulation. 1. Introduction The automation of the design analysis of engi and Effects Analysis (FMEA), Sneak Circuit Analysis (SCA), simulation explanation, Fault Tree Analysis

  11. Decision Summaries | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Appliances & Electronics Search link to facebook link to twitter Email Signup Sign up for updates Go Search form Search Appliances & Electronics You are here Home Decision...

  12. Latent effects decision analysis

    DOE Patents [OSTI]

    Cooper, J. Arlin (Albuquerque, NM); Werner, Paul W. (Albuquerque, NM)

    2004-08-24T23:59:59.000Z

    Latent effects on a system are broken down into components ranging from those far removed in time from the system under study (latent) to those which closely effect changes in the system. Each component is provided with weighted inputs either by a user or from outputs of other components. A non-linear mathematical process known as `soft aggregation` is performed on the inputs to each component to provide information relating to the component. This information is combined in decreasing order of latency to the system to provide a quantifiable measure of an attribute of a system (e.g., safety) or to test hypotheses (e.g., for forensic deduction or decisions about various system design options).

  13. Waste-to-energy: Decision making and the decisions made

    SciTech Connect (OSTI)

    Schexnayder, S.M. (Tennessee Univ., Knoxville, TN (United States)); Wolfe, A.K. (Oak Ridge National Lab., TN (United States))

    1993-01-01T23:59:59.000Z

    During the early 1980s, it was projected that waste-to-energy (WTE) facilities would manage as much as half of all municipal solid waste by the turn of the century. However, during the latter part of the 1980s, the cancellation rate for WTE facilities grew to the point that the portion of the waste stream WTE will handle in the long-term future is less certain. This study, conducted as part of a larger study, identifies factors that influence municipalities, decisions regarding WTE. This study takes a broad perspective about decision-making within communities, emphasizing the context within which decisions were made and the decision-making process. It does not seek to judge the correctness of the decisions.

  14. Waste-to-energy: Decision making and the decisions made

    SciTech Connect (OSTI)

    Schexnayder, S.M. [Tennessee Univ., Knoxville, TN (United States); Wolfe, A.K. [Oak Ridge National Lab., TN (United States)

    1993-05-01T23:59:59.000Z

    During the early 1980s, it was projected that waste-to-energy (WTE) facilities would manage as much as half of all municipal solid waste by the turn of the century. However, during the latter part of the 1980s, the cancellation rate for WTE facilities grew to the point that the portion of the waste stream WTE will handle in the long-term future is less certain. This study, conducted as part of a larger study, identifies factors that influence municipalities, decisions regarding WTE. This study takes a broad perspective about decision-making within communities, emphasizing the context within which decisions were made and the decision-making process. It does not seek to judge the correctness of the decisions.

  15. Adaptive Peircean decision aid project summary assessments.

    SciTech Connect (OSTI)

    Senglaub, Michael E.

    2007-01-01T23:59:59.000Z

    This efforts objective was to identify and hybridize a suite of technologies enabling the development of predictive decision aids for use principally in combat environments but also in any complex information terrain. The technologies required included formal concept analysis for knowledge representation and information operations, Peircean reasoning to support hypothesis generation, Mill's's canons to begin defining information operators that support the first two technologies and co-evolutionary game theory to provide the environment/domain to assess predictions from the reasoning engines. The intended application domain is the IED problem because of its inherent evolutionary nature. While a fully functioning integrated algorithm was not achieved the hybridization and demonstration of the technologies was accomplished and demonstration of utility provided for a number of ancillary queries.

  16. An air itinerary choice model based on a mixed RP/SP dataset

    E-Print Network [OSTI]

    Bierlaire, Michel

    An air itinerary choice model based on a mixed RP/SP dataset Bilge Atasoy Michel Bierlaire April/SP dataset. The aim of the combination of the two datasets is to exploit the variability of the SP data is modeled as a latent class. In this study we develop an itinerary choice model based on a real dataset

  17. A Model-Based Approach to Synthesizing Insulin Infusion Pump Usage Parameters for Diabetic Patients

    E-Print Network [OSTI]

    Sankaranarayanan, Sriram

    A Model-Based Approach to Synthesizing Insulin Infusion Pump Usage Parameters for Diabetic Patients Fainekos Abstract-- We present a model-based approach to synthesiz- ing insulin infusion pump usage parameters against varying meal scenarios and physiological conditions. Insulin infusion pumps are commonly

  18. Changing gear : driving corporate real estate financing decisions for the agile workplace

    E-Print Network [OSTI]

    Hardy, Trevor J. F. (Trevor John Fraser), 1977-

    2002-01-01T23:59:59.000Z

    Given the needs of corporations in the global business environment, corporate real estate investment decisions represent strategic choices that support a company's overall business strategy. This thesis clearly illustrates ...

  19. Incorporating Risk and Uncertainty into Pavement Network Maintenance and Rehabilitation Budget Allocation Decisions

    E-Print Network [OSTI]

    Menendez Acurio, Jose Rafael

    2014-07-30T23:59:59.000Z

    management systems must be upgraded to incorporate risk management, permitting pavement management systems to serve as a more realistic decision support tool for planning and budget allocation in pavement maintenance and rehabilitation. This dissertation...

  20. Self-Supporting Funds Business Analyst School of Chemical Sciences

    E-Print Network [OSTI]

    Zimmerman, Steven C.

    decision-making. Major Responsibilities Counsel self-supporting facility directors during the charge rate and interpret pertinent regulatory guidelines. Provide expenditure projections and forecast financial trends and database applications is essential. Knowledge of Generally Accepted Accounting Standards (GAAP) knowledge

  1. Integrated Science and Computing Support for National Climate Service PRINCIPAL INVESTIGATOR: Thomas J. Wilbanks

    E-Print Network [OSTI]

    -of-the-art advanced climate change modeling, beginning with im- plications of climate change for water-sector decision making as a test case, with some additional attention to decision making related to climate change risks service types of decision support by identifying climate science-related questions of interest to US water

  2. MIDAS : minor incident decision analysis software

    E-Print Network [OSTI]

    Horng, Tze-Chieh, 1964-

    2004-01-01T23:59:59.000Z

    MIDAS is the minor incident decision analysis software that acts as an advisory tool for plant decision makers and operators to analyze the available decision alternatives for resolving minor incidents. The minor incidents ...

  3. Interactions between learning and decision making

    E-Print Network [OSTI]

    Tulabandhula, Theja

    2014-01-01T23:59:59.000Z

    We quantify the effects of learning and decision making on each other in three parts. In the first part, we look at how knowledge about decision making can influence learning. Let the decision cost be the amount spent by ...

  4. The Effects of Elite Decision Making

    E-Print Network [OSTI]

    Johansen, Morgen S.

    2010-07-14T23:59:59.000Z

    focuses on two groups of decision makers, candidates running for office and public managers, and the effect of their decisions on the electorate and organization, respectively. The dissertation explores the impact of candidates' decisions regarding...

  5. A Method and Tool Support for Model-based Semi-automated Failure Modes and Effects Analysis of Engineering Designs

    E-Print Network [OSTI]

    Papadopoulos, Yiannis

    and scalability of present algorithms seem to have so far limited the industrial uptake of existing automated FMEA technology. In this paper, we describe a new tool for the automatic synthesis of FMEAs which builds upon our earlier work on fault tree synthesis. The tool constructs FMEAs from engineering diagrams (e.g. developed

  6. Accommodating complexity and human behaviors in decision analysis.

    SciTech Connect (OSTI)

    Backus, George A.; Siirola, John Daniel; Schoenwald, David Alan; Strip, David R.; Hirsch, Gary B.; Bastian, Mark S.; Braithwaite, Karl R.; Homer, Jack [Homer Consulting

    2007-11-01T23:59:59.000Z

    This is the final report for a LDRD effort to address human behavior in decision support systems. One sister LDRD effort reports the extension of this work to include actual human choices and additional simulation analyses. Another provides the background for this effort and the programmatic directions for future work. This specific effort considered the feasibility of five aspects of model development required for analysis viability. To avoid the use of classified information, healthcare decisions and the system embedding them became the illustrative example for assessment.

  7. Decision Analysis for EGS | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    Decision Analysis for EGS Decision Analysis for EGS Project objectives: DEVELOPMENT OF ANALYSIS TOOLS TO ASSESS: Uncertainties associated with exploration for EGS; Uncertainties...

  8. Three essays in decision making

    E-Print Network [OSTI]

    Weaver, Ray, Ph. D. Massachusetts Institute of Technology

    2008-01-01T23:59:59.000Z

    This dissertation is composed of three essays about consumer judgment and decision making. In Essay 1, I develop a novel explanation for the well-known endowment effect - the tendency for owners to value goods more than ...

  9. Participation in crisis decision making

    E-Print Network [OSTI]

    Marsico, Dale Joseph

    1973-01-01T23:59:59.000Z

    that included: departmental secretaries, under secretaries, military officers, and presidential staff. Actions that these indi- viduals pursued that were classified as participation in crisis decision making included: meeting attendance, presenting policy... positions, presenting alternative courses of action, and informing other decision makers of the nature oi a crisis. The data suggest that various patterns of participation occur in different types of crises, and that actors may tend to participate more...

  10. Artificial Intelligence Decision and Information

    E-Print Network [OSTI]

    Polani, Daniel

    (Sk+3000,000) EU(decline bet) = U(S k+1000,000) not that different Bottom Line: the utility U of money Intellige Decision: What Door to Open? Artificial Intelligence ­ p.3/26 Bottom Line Clear: decision about preference by a numerical utility function U. For outcomes A, B U(A) > U(B) A B U(A) = U(B) A B Artificial

  11. Comparison of Chiller Models for Use in Model-Based Fault Detection

    E-Print Network [OSTI]

    Sreedhara, P.; Haves, P.

    2001-01-01T23:59:59.000Z

    , and computational requirements. The objective of this study was to evaluate different modeling approaches for their applicability to model based FDD of vapor compression chillers. Three different models were studied: the Gordon and Ng Universal Chiller model (2nd...

  12. Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification

    E-Print Network [OSTI]

    Mignotte, Max

    Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification of Shadow original statistical classification method using a deformable template model separate natural objects man template, along admissible linear transformations, to take account shape variability. classification

  13. Teallach: a model-based user interface development environment for object databasesq

    E-Print Network [OSTI]

    Paton, Norman

    comprehensive facilities for linking models, a ¬Įexible development method, an open architecture project, which has developed a model-based user interface development envir- onment for use with object

  14. E-Print Network 3.0 - alternative models based Sample Search...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    for: alternative models based Page: << < 1 2 3 4 5 > >> 1 Modeling coupled human-landscape interactions at the urban-rural fringe in Southeastern Daniel G. Brown, Scott E....

  15. AutoMoDe - Model-Based Development of Automotive Software

    E-Print Network [OSTI]

    Ziegenbein, Dirk; Freund, Ulrich; Bauer, Andreas; Romberg, Jan; Schatz, Bernhard

    2011-01-01T23:59:59.000Z

    This paper describes first results from the AutoMoDe (Automotive Model-Based Development) project. The overall goal of the project is to develop an integrated methodology for model-based development of automotive control software, based on problem-specific design notations with an explicit formal foundation. Based on the existing AutoFOCUS framework, a tool prototype is being developed in order to illustrate and validate the key elements of our approach.

  16. Representing Asymmetric Decision Problems Using Coarse Valuations

    E-Print Network [OSTI]

    Liu, Liping; Shenoy, Prakash P.

    2004-04-01T23:59:59.000Z

    Support Systems 37 (2004) 119?135120 example of a highly asymmetric decision problem [15,22,23]. Joe is considering buying a 3-year-old Spartan sedan at a price of US$1000. The going rate for a similar car in the used car market is US$1100. Joe is unsure... of X and r is a payoff valuation of Y. Their combination, denoted by pC10r or rC10p, is a payoff valuation of Z=X[Y defined as follows: ?p C10 r??z??p?x??r?y?; ?1? where x and y are respectively the projection of z to X and Y, which are defined...

  17. Environmental Decision Making and Information Technology: Issues Assessment

    SciTech Connect (OSTI)

    Barg, S.; Fletcher, T.; Mechling, J.; Tonn, B.; Turner, R.

    1999-05-01T23:59:59.000Z

    This report presents a summary of the Information Technology and Environmental Decision Making Workshop that was held at Harvard University, October 1-3, 1998. Over sixty participants from across the US took part in discussions that focused on the current practice of using information technology to support environmental decision making and on future considerations of information technology development, information policies, and data quality issues in this area. Current practice is focusing on geographic information systems and visualization tools, Internet applications, and data warehousing. In addition, numerous organizations are developing environmental enterprise systems to integrate environmental information resources. Plaguing these efforts are issues of data quality (and public trust), system design, and organizational change. In the future, much effort needs to focus on building community-based environmental decision-making systems and processes, which will be a challenge given that exactly what needs to be developed is largely unknown and that environmental decision making in this arena has been characterized by a high level of conflict. Experimentation and evaluation are needed to contribute to efficient and effective learning about how best to use information technology to improve environmental decision making.

  18. Initial Decision and Risk Analysis

    SciTech Connect (OSTI)

    Engel, David W.

    2012-02-29T23:59:59.000Z

    Decision and Risk Analysis capabilities will be developed for industry consideration and possible adoption within Year 1. These tools will provide a methodology for merging qualitative ranking of technology maturity and acknowledged risk contributors with quantitative metrics that drive investment decision processes. Methods and tools will be initially introduced as applications to the A650.1 case study, but modular spreadsheets and analysis routines will be offered to industry collaborators as soon as possible to stimulate user feedback and co-development opportunities.

  19. REVIEWING PERFORMANCE ASSESSMENTS SUPPORTING

    E-Print Network [OSTI]

    Robert J. Lewis

    2010-01-01T23:59:59.000Z

    Purpose: To summarize current NRC policy and guidance, which should assist in making informed decisions regarding land disposal of unique low-level radioactive waste streams, including disposal of significant quantities of depleted uranium until a new regulation is implemented. Background: In September 2009, NRC staff conducted two public workshops soliciting early public input on major issues associated with a potential rulemaking for land disposal of unique waste streams including, but not limited to, significant quantities of depleted uranium. During these workshops, a number of stakeholders expressed interest or concern with the review of performance assessments supporting land disposal of unique waste streams prior to completion of the rulemaking process. Discussion: The enclosure contains a summary of existing guidance for reviewing performance assessments with a focus on issues associated with the safe disposal of unique waste streams. NRC staff is providing this guidance to the Agreement States for their information, and for distribution to their licensees, as appropriate. If you have any questions regarding this correspondence, please contact me at 301-415-3340 or the individuals named below.

  20. Systems Biology Group Decision Making

    E-Print Network [OSTI]

    entities (e.g., molecular, cellular, organism, ecological) #12;OHIO STATE T . H . E UNIVERSITY Systems/analysis of perception, attention, choice, learning, optimality,... #12;OHIO STATE T . H . E UNIVERSITY Group decision making, evolution and ecology Current work: Modeling/analysis of coordinated motion, foraging, choice

  1. ADVANCED DECISION ANALYSIS Winter 2011

    E-Print Network [OSTI]

    Chisholm, Rex L.

    ADVANCED DECISION ANALYSIS PH 444 Winter 2011 Course Instructor: Gordon Hazen, Ph.D. Professor a factored cost-effectiveness model · Construct a stochastic tree transition diagram for a medical treatment problem. · Convert a stochastic tree diagram to a discrete-time Markov chain transition diagram

  2. Decision making in the reactor control room

    SciTech Connect (OSTI)

    Nelson, W.R.

    1981-01-01T23:59:59.000Z

    One of the most important roles of the nuclear reactor operator is that of decision maker. This paper discusses a simple model of the decision process used by the reactor operator. Resources that must be available so that he can perform the decision process are presented. Decision aids which have been investigated at EG and G Idaho, Inc., as part of the LOFT Augmented Operator Capability Program are briefly discussed. Some general concepts of computerized decision aiding are developed, and the promises and pitfalls of such decision aids are explored. 7 refs., 1 fig.

  3. Model based multivariable controller for large scale compression stations. Design and experimental validation on the LHC 18KW cryorefrigerator

    SciTech Connect (OSTI)

    Bonne, FranÁois; Bonnay, Patrick [INAC, SBT, UMR-E 9004 CEA/UJF-Grenoble, 17 rue des Martyrs, 38054 Grenoble (France); Alamir, Mazen [Gipsa-Lab, Control Systems Department, CNRS-University of Grenoble, 11, rue des Mathťmatiques, BP 46, 38402 Saint Martin d'HŤres (France); Bradu, Benjamin [CERN, CH-1211 GenŤve 23 (Switzerland)

    2014-01-29T23:59:59.000Z

    In this paper, a multivariable model-based non-linear controller for Warm Compression Stations (WCS) is proposed. The strategy is to replace all the PID loops controlling the WCS with an optimally designed model-based multivariable loop. This new strategy leads to high stability and fast disturbance rejection such as those induced by a turbine or a compressor stop, a key-aspect in the case of large scale cryogenic refrigeration. The proposed control scheme can be used to have precise control of every pressure in normal operation or to stabilize and control the cryoplant under high variation of thermal loads (such as a pulsed heat load expected to take place in future fusion reactors such as those expected in the cryogenic cooling systems of the International Thermonuclear Experimental Reactor ITER or the Japan Torus-60 Super Advanced fusion experiment JT-60SA). The paper details how to set the WCS model up to synthesize the Linear Quadratic Optimal feedback gain and how to use it. After preliminary tuning at CEA-Grenoble on the 400W@1.8K helium test facility, the controller has been implemented on a Schneider PLC and fully tested first on the CERN's real-time simulator. Then, it was experimentally validated on a real CERN cryoplant. The efficiency of the solution is experimentally assessed using a reasonable operating scenario of start and stop of compressors and cryogenic turbines. This work is partially supported through the European Fusion Development Agreement (EFDA) Goal Oriented Training Program, task agreement WP10-GOT-GIRO.

  4. Investigating online decision-making styles

    E-Print Network [OSTI]

    Park, Young A

    2009-05-15T23:59:59.000Z

    As one of the factors influencing consumers purchase behavior, decision-making styles are crucial for understanding consumer shopping behavior and for developing successful marketing strategies. Decision-making styles have been mainly viewed as a...

  5. P:\\DECISION\\0088.tba.wpd

    Broader source: Energy.gov (indexed) [DOE]

    of a cited decision may be accessed by entering the case number of the decision in the search engine located at http:www.oha.doe.govsearch.htm. 2 A SWPF processes nuclear...

  6. Optimal Decision Trees Kristin P. Bennett \\Lambda

    E-Print Network [OSTI]

    Varela, Carlos

    of all the decisions in the tree concurrently. Using Global Tree Optimization (GTO), we can optimize. Decisions are constructed recursively for each of the regions. This process is repeated until the points

  7. Systems analysis of major consumer energy decisions

    E-Print Network [OSTI]

    Sisler, Nicholas Daniel

    2011-01-01T23:59:59.000Z

    American consumers make a number of decisions that significantly impact their energy use. Some of the most important of these decisions were identified and analyzed for the purpose of including them in a Consumer Energy ...

  8. Electricity Generation and Emissions Reduction Decisions

    E-Print Network [OSTI]

    Electricity Generation and Emissions Reduction Decisions under Policy Uncertainty: A General analysis, and public education in global environmental change. It seeks to provide leadership;1 Electricity Generation and Emissions Reduction Decisions under Policy Uncertainty: A General Equilibrium

  9. |Research Focus Statistical decision theory and evolution

    E-Print Network [OSTI]

    Maloney, Laurence T.

    |Research Focus Statistical decision theory and evolution Laurence T. Maloney Department recent articles by Geisler and Diehl use Bayesian statistical decision theory to model the co, an advantage that ultimately translates into `reproductive success'. The balance between predator and prey

  10. Corporate decision analysis : an engineering approach

    E-Print Network [OSTI]

    Tang, Victor, Ph.D. Massachusetts Institute of Technology

    2006-01-01T23:59:59.000Z

    We explore corporate decisions and their solutions under uncertainty using engineering methods. Corporate decisions tend to be complex; they are interdisciplinary and defy programmable solutions. To address these challenges, ...

  11. Better Buildings Neighborhood Program Decision Tool

    Broader source: Energy.gov [DOE]

    Provides an overview of the development of the Better Buildings Neighborhood Program decision tool, purpose, and scope.

  12. Modeling Nuclear Properties with Support Vector Machines

    E-Print Network [OSTI]

    Haochen Li; J. W. Clark; E. Mavrommatis; S. Athanassopoulos; K. A. Gernoth

    2006-03-21T23:59:59.000Z

    We have made initial studies of the potential of support vector machines (SVM) for providing statistical models of nuclear systematics with demonstrable predictive power. Using SVM regression and classification procedures, we have created global models of atomic masses, beta-decay halflives, and ground-state spins and parities. These models exhibit performance in both data-fitting and prediction that is comparable to that of the best global models from nuclear phenomenology and microscopic theory, as well as the best statistical models based on multilayer feedforward neural networks.

  13. 4, 20352071, 2007 Open-GIS decision

    E-Print Network [OSTI]

    HESSD 4, 2035­2071, 2007 Open-GIS decision aid system for the Bistrita River Basin M. C. Trifu et System Sciences Development of an Open-GIS decision aid system for ecological and economical management, France 2035 #12;HESSD 4, 2035­2071, 2007 Open-GIS decision aid system for the Bistrita River Basin M. C

  14. Validated Model-Based Performance Prediction of Multi-Core Software Routers

    E-Print Network [OSTI]

    Carle, Georg

    Terms--measurement, simulation, intra-node model, re- source contention, model validation, software components. Leveraged by high flexibility and low costs of software developments in comparison with hardwareValidated Model-Based Performance Prediction of Multi-Core Software Routers Torsten Meyer1

  15. A Model-Based Impedance Control Scheme for High-Performance Hydraulic Joints

    E-Print Network [OSTI]

    Papadopoulos, Evangelos

    A Model-Based Impedance Control Scheme for High-Performance Hydraulic Joints Glen Bilodeau1, Greece Abstract Impedance control of a hydraulic servoactuator joint system is discussed in this paper individually. Due to nonlinear properties of hydraulic actuators, impedance control is difficult. The control

  16. Model-based Control of Automotive Engines and After-treatment Devices

    E-Print Network [OSTI]

    Model-based Control of Automotive Engines and After-treatment Devices N. Petit MINES Paris on automotive vehicle emissions have steadily increased over the last decades, embedded control technology relating to the field of automotive engines. It exposes several milestones that have been identified

  17. Towards model-based control of a steam Rankine process for engine waste heat recovery

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Towards model-based control of a steam Rankine process for engine waste heat recovery Johan Peralez steam process for exhaust gas heat recovery from a spark-ignition engine, focusing in particular results on a steam process for SI engines, [3] on generic control issues and [4] which provides a comp

  18. Nonlinear Model Based Coordinated Adaptive Robust Control of Electro-hydraulic Robotic Arms via Overparametrizing Method

    E-Print Network [OSTI]

    Yao, Bin

    Nonlinear Model Based Coordinated Adaptive Robust Control of Electro-hydraulic Robotic Arms via by electrical motors, hydraulic robot arms have a richer nonlinear dynam- ics and stronger couplings among uncertainties only. Simulation and experimental results on a three degree-of-freedom (DOF) hydraulic robot arm

  19. Improved Economic Operation of MSWC Plants with a New Model Based PID Control Strategy

    E-Print Network [OSTI]

    Van den Hof, Paul

    Improved Economic Operation of MSWC Plants with a New Model Based PID Control Strategy M. Leskens the performance of the MSWC plant combustion control system, which typically is of the PID-type. In this paper models. More specific, from a closer analysis of the dynamics of these models a new PID-type of MSWC

  20. MICROELECTRONIC ENGINEERING RESEARCH CONFERENCE 2003 1 Low Complexity Gaussian Mixture Model-based Block

    E-Print Network [OSTI]

    is jointly Gaussian, hence Lloyd- Max non-uniform scalar quantisers are used in traditional block quan-based Block Quantisation of Images Stephen So and Kuldip K. Paliwal Abstract--In this paper, we present a low complexity version of Gaus- sian mixture model-based block quantisation for images. The latter coding method

  1. Fully Distributed Trust Model based on Trust Graph for Mobile Ad hoc Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Fully Distributed Trust Model based on Trust Graph for Mobile Ad hoc Networks Mawloud Omar, Yacine University of Technology, France. bouabdal@hds.utc.fr Abstract A mobile ad hoc network (MANET) is a wireless that defines who trusts who and how. Our work aims to provide a fully distributed trust model for mobile ad hoc

  2. Bayesian model-based approaches with MCMC computation to some bioinformatics problems

    E-Print Network [OSTI]

    Bae, Kyounghwa

    2005-08-29T23:59:59.000Z

    BAYESIAN MODEL-BASED APPROACHES WITH MCMC COMPUTATION TO SOME BIOINFORMATICS PROBLEMS A Dissertation by KYOUNGHWA BAE Submitted to the O?ce of Graduate Studies of Texas A&M University in partial ful?llment of the requirements for the degree....3 Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 3.4 Computation . . . . . . . . . . . . . . . . . . . . . . . . . 49 3.5 Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 3.6 Discussion...

  3. IEEE TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING 1 Model-Based Speech Enhancement with Improved

    E-Print Network [OSTI]

    So, Hing-Cheung

    IEEE TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING 1 Model-Based Speech Enhancement-based approach to enhance noisy speech using an analysis-synthesis framework. Target speech is reconstructed. Ini- tially, we propose an analysis-synthesis framework for speech enhancement based on harmonic noise

  4. Trust and Exclusion in Vehicular Ad Hoc Networks: An Economic Incentive Model based Approach

    E-Print Network [OSTI]

    Paris-Sud XI, Universitť de

    Trust and Exclusion in Vehicular Ad Hoc Networks: An Economic Incentive Model based Approach Nadia, and lowers the overall data reception ratio in the network. To tackle this, we propose a new incentive model with exclusion for malicious nodes called VIME. VIME is inspired from the signaling theory from economics

  5. Model-based Compressed Sensing reconstruction for MR parameter mapping Mariya Doneva1

    E-Print Network [OSTI]

    L√ľbeck, Universit√§t zu

    Model-based Compressed Sensing reconstruction for MR parameter mapping Mariya Doneva1 , Christian Stehning2 , Peter Börnert2 , Holger Eggers2 and Alfred Mertins1 1 University of Luebeck, Luebeck, Germany, 2 Philips Research Europe, Hamburg, Germany Introduction: Compressed Sensing [1-4] suggests

  6. The path inference filter: model-based low-latency map matching of probe

    E-Print Network [OSTI]

    Abbeel, Pieter

    of automation onboard vehicles have created a very fertile ground for GPS data sources from probe vehicles for example [4], and the paradigm of connected (and automated) vehicles does not automatically translateThe path inference filter: model-based low-latency map matching of probe vehicle data Timothy

  7. Deployment Mechanism Design with Behavioral Modeling Based on Pro/Engineer Motion Skeleton

    E-Print Network [OSTI]

    kind of motion mechanisms, is often used to stretch out solar panels or antennas in spacecraftDeployment Mechanism Design with Behavioral Modeling Based on Pro/Engineer Motion Skeleton Chao.com.cn Keywords: Deployment mechanism, Motion skeleton, Behavioral modeling, Feasibility analysis Abstract

  8. A Supply-Demand Model Based Scalable Energy Management System for Improved Energy

    E-Print Network [OSTI]

    Bhunia, Swarup

    the dependency of an electronic system to primary energy sources (i.e. AC power or battery). For reliable energy generation and consumption parameters. The system uses economics inspired supply-demand modelA Supply-Demand Model Based Scalable Energy Management System for Improved Energy Utilization

  9. Function Test Framework for Testing IO-Blocks in a Model-Based Rapid Prototyping Development

    E-Print Network [OSTI]

    Function Test Framework for Testing IO-Blocks in a Model-Based Rapid Prototyping Development -- Testing and verification are important methods for gaining confidence in the reliability of a software changing development cycles or that is tar- geted at many platforms. In this paper we present a test

  10. Marc P. Deisenroth, Carl E. Rasmussen, and Jan Peters: Model-Based Reinforcement Learning with

    E-Print Network [OSTI]

    Edinburgh, University of

    Marc P. Deisenroth, Carl E. Rasmussen, and Jan Peters: Model-Based Reinforcement Learning with Continuous States and Actions Marc P. Deisenroth1 , Carl E. Rasmussen1,2 , and Jan Peters2 1- University of Cambridge - Department of Engineering Trumpington Street, Cambridge CB2 1PZ - UK {mpd37|cer54}@cam.ac.uk 2

  11. Model-Based Testing for the Second Generation of Integrated Modular Avionics Christof Efkemann, Jan Peleska

    E-Print Network [OSTI]

    Peleska, Jan - Fachbereich 3

    activities regarding automated testing of Integrated Modular Avionics controllers in the European research, specialised electronics devices, many of them with cus- tom interfaces. In the Integrated Modular AvionicsModel-Based Testing for the Second Generation of Integrated Modular Avionics Christof Efkemann, Jan

  12. Robust model based control method for wind energy production A. Pintea 1

    E-Print Network [OSTI]

    Boyer, Edmond

    Robust model based control method for wind energy production A. Pintea 1 , D. Popescu 1 , Ioana change effects will come to dominate every part of the earth. Wind power energy represents an interesting alternative to traditional forms of obtaining energy. However, the efficiency of wind power strongly depends

  13. High speed cutting with industrial robots: Towards model based compensation of deviations

    E-Print Network [OSTI]

    Stryk, Oskar von

    , [abele|bauer|weigold]@ptw.tu-darmstadt.de Abstract Application of industrial robots for high speedHigh speed cutting with industrial robots: Towards model based compensation of deviations Modeling and numerical simulation of the industrial robot with elastic joints Dr.-Ing. M. Stelzer and Prof. Dr. rer. nat

  14. Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification

    E-Print Network [OSTI]

    Mignotte, Max

    Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification of Shadow√źWe present an original statistical classification method using a deformable template model to separate transformations, to take into account the shape variability. Then, the classification problem is defined as a two

  15. A HYGROTHERMAL BUILDING MODEL BASED ON THE OBJECT-ORIENTED MODELING LANGUAGE MODELICA

    E-Print Network [OSTI]

    A HYGROTHERMAL BUILDING MODEL BASED ON THE OBJECT-ORIENTED MODELING LANGUAGE MODELICA Christoph modeling language Modelica. As a starting point for the development of the new building model (thermal building simulation). The first results of this research are Modelica-implementations of a thermal

  16. Model-Based Telerobotic Control with Virtual Fixtures For Satellite Servicing Tasks

    E-Print Network [OSTI]

    Whitcomb, Louis L.

    the tape that secures a flap of multi-layer insulation over the access panel of a satellite mockup. I its national capability to perform on- orbit repair of satellites in low-earth orbit, and evenModel-Based Telerobotic Control with Virtual Fixtures For Satellite Servicing Tasks Tian Xia, Simon

  17. Model based methodology development for energy recovery in flash heat exchange systems

    E-Print Network [OSTI]

    McCarthy, John E.

    Model based methodology development for energy recovery in flash heat exchange systems Problem with a condensing heat exchanger can be used when heat exchange is required between two streams and where at leastH, consistency etc.). To increase the efficiency of heat exchange, a cascade of these units in series can be used

  18. Hybrid correlation models based on active-space partitioning: Seeking accurate O,,N5

    E-Print Network [OSTI]

    Sherrill, David

    Hybrid correlation models based on active-space partitioning: Seeking accurate O,,N5 ... ab initio and doubles coupled cluster CCSD method to produce a hybrid method that retains the computational scaling of MP2 and improves dramatically the shape of the MP2 curves. In this work we expand the hybrid

  19. Submitted to the Annals of Applied Statistics INTEGRATIVE MODEL-BASED CLUSTERING OF MICROARRAY

    E-Print Network [OSTI]

    Booth, James

    , Expression, AML. 1 #12;2 KORMAKSSON ET AL. can guide the design of more specifically targeted therapies. DueSubmitted to the Annals of Applied Statistics INTEGRATIVE MODEL-BASED CLUSTERING OF MICROARRAY to multiple data types of a similar nature, which leads to an integrated analysis over multiple data platforms

  20. Composition of Model-based Test Coverage Criteria Mario Friske, Bernd-Holger Schlingloff, Stephan Weileder

    E-Print Network [OSTI]

    Schlingloff, Holger

    application and combination of coverage crite- ria and enables to plug-in various test generators. FurthermoreComposition of Model-based Test Coverage Criteria Mario Friske, Bernd-Holger Schlingloff, Stephan-based testing. We formalize coverage criteria and specify test goals using OCL. Then, we propose a set

  1. Model-based filtering, compression and classification of the ECG GD Clifford

    E-Print Network [OSTI]

    McSharry, Patrick E.

    Model-based filtering, compression and classification of the ECG GD Clifford ¬Ę¬° ¬£ , A Shoeb of this model using a nonlinear optimization, we demonstrate that an arbitrary ECG can be modeled the parameters, waveform classification is possible. 1. Introduction Conventional ECG filters are limited

  2. A Cardiac Electro-physiological Model Based Approach for Filtering High Frequency ECG Noise

    E-Print Network [OSTI]

    Povinelli, Richard J.

    A Cardiac Electro-physiological Model Based Approach for Filtering High Frequency ECG Noise MA on automatic diagnoses of cardiac disease through ECG signals, de-noising tech- niques that do not introduce noise from ECG signals. The proposed modeling technique is based on the propagation of the electric

  3. Towards Model-Based Estimation of the Cardiac Electro-Mechanical Activity from ECG Signals

    E-Print Network [OSTI]

    Coudière, Yves

    Towards Model-Based Estimation of the Cardiac Electro-Mechanical Activity from ECG Signals by comparing the actual patient's ECG with computational results and the deformation of the biomechani- cal-to-access measurements on a patient: the ECG (Electrocardiogram), and a time sequence of volumetric ultrasound images

  4. Model-based Failure Modes and Effects Analysis of Neal Snooke 1

    E-Print Network [OSTI]

    Snooke, Neal

    embedded software developers who are already familiar with the benefits of FMEA analysis. Several au- thors discuss experiences of performing manual FMEA of software however there has been no attempt at automating of software and the success of model based automated FMEA for hardware. 1 Introduction The notion of Software

  5. Model-based Estimation of Flexibility and Optionability in an Integrated Real Options Framework

    E-Print Network [OSTI]

    Mikaelian, Tsoline

    Uncertainties can be managed through real options that provide a decision maker the right, but not the obligation, to exercise actions at a later time. In previous work we introduced an integrated real options framework ...

  6. Simulation of human decision making

    DOE Patents [OSTI]

    Forsythe, J. Chris (Sandia Park, NM); Speed, Ann E. (Albuquerque, NM); Jordan, Sabina E. (Albuquerque, NM); Xavier, Patrick G. (Albuquerque, NM)

    2008-05-06T23:59:59.000Z

    A method for computer emulation of human decision making defines a plurality of concepts related to a domain and a plurality of situations related to the domain, where each situation is a combination of at least two of the concepts. Each concept and situation is represented in the computer as an oscillator output, and each situation and concept oscillator output is distinguishable from all other oscillator outputs. Information is input to the computer representative of detected concepts, and the computer compares the detected concepts with the stored situations to determine if a situation has occurred.

  7. Decision Science | Argonne National Laboratory

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOffice ofINL isSeparationsRelevant toDecision Science

  8. Artificial neural networks: Principle and application to model based control of drying systems -- A review

    SciTech Connect (OSTI)

    Thyagarajan, T.; Ponnavaikko, M. [Crescent Engineering Coll., Madras (India); Shanmugam, J. [Madras Inst. of Tech. (India); Panda, R.C.; Rao, P.G. [Central Leather Research Inst., Madras (India)

    1998-07-01T23:59:59.000Z

    This paper reviews the developments in the model based control of drying systems using Artificial Neural Networks (ANNs). Survey of current research works reveals the growing interest in the application of ANN in modeling and control of non-linear, dynamic and time-variant systems. Over 115 articles published in this area are reviewed. All landmark papers are systematically classified in chronological order, in three distinct categories; namely, conventional feedback controllers, model based controllers using conventional methods and model based controllers using ANN for drying process. The principles of ANN are presented in detail. The problems and issues of the drying system and the features of various ANN models are dealt with up-to-date. ANN based controllers lead to smoother controller outputs, which would increase actuator life. The paper concludes with suggestions for improving the existing modeling techniques as applied to predicting the performance characteristics of dryers. The hybridization techniques, namely, neural with fuzzy logic and genetic algorithms, presented, provide, directions for pursuing further research for the implementation of appropriate control strategies. The authors opine that the information presented here would be highly beneficial for pursuing research in modeling and control of drying process using ANN. 118 refs.

  9. Journal of Power Sources 162 (2006) 388399 Model-based condition monitoring of PEM fuel cell using

    E-Print Network [OSTI]

    Ding, Yu

    2006-01-01T23:59:59.000Z

    Journal of Power Sources 162 (2006) 388≠399 Model-based condition monitoring of PEM fuel cell using of polymer electrolyte membrane (PEM) fuel cell systems, temporary faults in such systems still might occur/uncertainty of the fuel cell system, and the measurement noise. In this research, we propose a model-based condition

  10. Evaluation of Model based Tracking with TrakMark Dataset Antoine Petit Guillaume Caron Hideaki Uchiyama Eric Marchand

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Evaluation of Model based Tracking with TrakMark Dataset Antoine Petit Guillaume Caron Hideaki in the INRIA La- gadic team with a TrakMark dataset. Since these methods are based on a 3D model based approach, we selected a dataset named "Con- ference Venue Package 01" that includes a 3D textured model

  11. Model-based simultaneous optimization of multiple design parameters for lithium-ion batteries for maximization of energy density

    E-Print Network [OSTI]

    Subramanian, Venkat

    Model-based simultaneous optimization of multiple design parameters for lithium-ion batteries Keywords: Lithium-ion batteries Model-based design Optimization Physics based reformulated model a b s t r for porous electrodes that are commonly used in advanced batteries such as lithium-ion systems. The approach

  12. A 3D INTENSITY MODEL BASED ON SPHERICAL HARMONICS FOR AUTOMATIC 3D SEGMENTATION OF HETEROCHROMATIN FOCI

    E-Print Network [OSTI]

    Rippe, Karsten

    A 3D INTENSITY MODEL BASED ON SPHERICAL HARMONICS FOR AUTOMATIC 3D SEGMENTATION OF HETEROCHROMATIN DKFZ Heidelberg and BIOQUANT, Research Group Genome Organization & Function ABSTRACT We introduce a 3D model-based approach for automatic segmentation of 3D fluorescent heterochromatin foci from microscopy

  13. Model-Based Testing with a General Purpose Keyword-Driven Test Automation Tuomas Pajunen, Tommi Takala, and Mika Katara

    E-Print Network [OSTI]

    Memon, Atif M.

    . The tests are built as sequences of keywords, and keywords are automatically translated into concrete lowModel-Based Testing with a General Purpose Keyword-Driven Test Automation Framework Tuomas Pajunen mika.katara@tut.fi Abstract--Model-based testing (MBT) is a relatively new approach to software testing

  14. Examining Decision-Making Regarding Environmental Information

    SciTech Connect (OSTI)

    Marble, Julie Lynne; Medema, Heather Dawne; Hill, Susan Gardiner

    2001-10-01T23:59:59.000Z

    Eight participants were asked to view a computer-based multimedia presentation on an environmental phenomenon. Participants were asked to play a role as a senior aide to a national legislator. In this role, they were told that the legislator had asked them to review a multimedia presentation regarding the hypoxic zone phenomenon in the Gulf of Mexico. Their task in assuming the role of a senior aide was to decide how important a problem this issue was to the United States as a whole, and the proportion of the legislatorís research budget that should be devoted to study of the problem. The presentation was divided into 7 segments, each containing some new information not contained in the previous segments. After viewing each segment, participants were asked to indicate how close they were to making a decision and how certain they were that their current opinion would be their final decision. After indicating their current state of decision-making, participants were interviewed regarding the factors affecting their decision-making. Of interest was the process by which participants moved toward a decision. This experiment revealed a number of possible directions for future research. There appeared to be two approaches to decision-making: Some decision-makers moved steadily toward a decision, and occasionally reversed decisions after viewing information, while others abruptly reached a decision after a certain time period spent reviewing the information. Although the difference in estimates of distance to decisions did not differ statistically for these two groups, that difference was reflected in the participantsí estimates of confidence that their current opinion would be their final decision. The interviews revealed that the primary difference between these two groups was in their trade-offs between willingness to spend time in information search and the acquisition of new information. Participants who were less confident about their final decision, tended to be the same group of participants who moved slowly toward a decision. These participants also tended to indicate that acquisition of information was more critical than the amount of time spent on the information search. The second group tended to form a set of specific questions for which they desired specific answers. This group was more likely to demonstrate a significant reduction in their distance to a decision much earlier than the first group. In addition, this group tended to be very confident of their final decision and indicated that time spent in information search was more critical than obtaining new information. They indicated that the value of information obtained must remain high to justify the extensive time spent in information search.

  15. Supply chain planning decisions under demand uncertainty

    E-Print Network [OSTI]

    Huang, Yanfeng Anna

    2008-01-01T23:59:59.000Z

    Sales and operational planning that incorporates unconstrained demand forecasts has been expected to improve long term corporate profitability. Companies are considering such unconstrained demand forecasts in their decisions ...

  16. Step decision rules for multistage stochastic programming

    E-Print Network [OSTI]

    Julien Th ni

    2006-08-08T23:59:59.000Z

    Aug 8, 2006 ... The second idea is to have each expert work with step decision rules. ... OR and Management Sciences (Supply Chain Management ). Citation:†...

  17. Semi-Structured Decision Processes: A Conceptual Framework for Understanding Human-Automation Decision Systems

    E-Print Network [OSTI]

    Kaliardos, William N.

    The purpose of this work is to improve understanding of existing and proposed decision systems, ideally to improve the design of future systems. A "decision system" is defined as a collection of

  18. Model-Based Control and Optimization of Large Scale Physical Systems -Challenges in Reservoir Engineering

    E-Print Network [OSTI]

    Van den Hof, Paul

    needs to increase efficiency in oil recovery from subsurface reservoirs new technology is devel- oped challenge to rationalize the decision processes. With newly developed technology for drilling wells and in for Systems and Control, Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands E-mail: p

  19. Supporting Air Traffic Flow Management with Agents Shawn R. Wolfe

    E-Print Network [OSTI]

    Yorke-Smith, Neil

    Supporting Air Traffic Flow Management with Agents Shawn R. Wolfe Intelligent Systems Division NASA Ames Research Center Moffett Field, CA 94035-1000 Shawn.R.Wolfe@nasa.gov Abstract Air traffic flow an agent-based system to facilitate mutually beneficial air traffic management decisions, and identify

  20. Science and Technology Roadmapping to Support Project Planning

    SciTech Connect (OSTI)

    Mc Carthy, Jeremiah Justin; Haley, Daniel Joseph; Dixon, Brent Wayne

    2001-07-01T23:59:59.000Z

    Disciplined science and technology roadmapping provides a framework to coordinate research and development activities with project objectives. This case-history paper describes initial project technology needs identification, assessment and R&D ranking activities supporting characterization of 781 waste tanks requiring a 'hazardous waste determination' or 'verification of empty' decision to meet an Idaho state Voluntary Consent Order.

  1. Solving Multiagent Assignment Markov Decision Scott Proper

    E-Print Network [OSTI]

    681 Solving Multiagent Assignment Markov Decision Processes Scott Proper Oregon State University]. On the Cite as: Solving Multiagent Assignment Markov Decision Processes, Scott Proper and Prasad Tadepalli, Sierra and Castelfranchi (eds.), May, 10­15, 2009, Bu- dapest, Hungary, pp. XXX-XXX. Copyright c 2009

  2. Advanced Review Judgment and decision making

    E-Print Network [OSTI]

    Fischhoff, Baruch

    and social factors that shape and complement the cognitive processes of decision making. The decision shifted its emphasis from predicting choices, which can be successful without theoretical insight, to understanding the processes shaping them. Those processes are often revealed through biases that suggest non

  3. Radioactive Threat Detection with Scattering Physics: A Model-Based Application

    SciTech Connect (OSTI)

    Candy, J V; Chambers, D H; Breitfeller, E F; Guidry, B L; Verbeke, J M; Axelrod, M A; Sale, K E; Meyer, A M

    2010-01-21T23:59:59.000Z

    The detection of radioactive contraband is a critical problem in maintaining national security for any country. Emissions from threat materials challenge both detection and measurement technologies especially when concealed by various types of shielding complicating the transport physics significantly. The development of a model-based sequential Bayesian processor that captures both the underlying transport physics including scattering offers a physics-based approach to attack this challenging problem. It is shown that this processor can be used to develop an effective detection technique.

  4. A comparison of two lung clearance models based on the dissolution rates of oxidized depleted uranium

    E-Print Network [OSTI]

    Crist, Kevin Craig

    1983-01-01T23:59:59.000Z

    by Cuddihy. Predictions fr'om bai. h models based on the dissolution rates of the amount of oxidized depleted uranium that wau'ld be cleared to blood irom the pu lraana ry region i'o'i)owing an i nba !at i cn exposure were compared . It was f:urd ti... to oxidized depleted uranium (DU) aerosol. The ob, ject. ive of th. is i:hesis was three fold: (1) to determine the dissolution rates for two respirable DU samples, (2) to determine the specific pulmonary clearance characteristics of oxidized DU, (3) Co...

  5. Reactor vessel support system

    DOE Patents [OSTI]

    Golden, Martin P. (Trafford, PA); Holley, John C. (McKeesport, PA)

    1982-01-01T23:59:59.000Z

    A reactor vessel support system includes a support ring at the reactor top supported through a box ring on a ledge of the reactor containment. The box ring includes an annular space in the center of its cross-section to reduce heat flow and is keyed to the support ledge to transmit seismic forces from the reactor vessel to the containment structure. A coolant channel is provided at the outside circumference of the support ring to supply coolant gas through the keyways to channels between the reactor vessel and support ledge into the containment space.

  6. SLUDGE TREATMENT PROJECT KOP CONCEPTUAL DESIGN CONTROL DECISION REPORT

    SciTech Connect (OSTI)

    CARRO CA

    2010-03-09T23:59:59.000Z

    This control decision addresses the Knock-Out Pot (KOP) Disposition KOP Processing System (KPS) conceptual design. The KPS functions to (1) retrieve KOP material from canisters, (2) remove particles less than 600 {micro}m in size and low density materials from the KOP material, (3) load the KOP material into Multi-Canister Overpack (MCO) baskets, and (4) stage the MCO baskets for subsequent loading into MCOs. Hazard and accident analyses of the KPS conceptual design have been performed to incorporate safety into the design process. The hazard analysis is documented in PRC-STP-00098, Knock-Out Pot Disposition Project Conceptual Design Hazard Analysis. The accident analysis is documented in PRC-STP-CN-N-00167, Knock-Out Pot Disposition Sub-Project Canister Over Lift Accident Analysis. Based on the results of these analyses, and analyses performed in support of MCO transportation and MCO processing and storage activities at the Cold Vacuum Drying Facility (CVDF) and Canister Storage Building (CSB), control decision meetings were held to determine the controls required to protect onsite and offsite receptors and facility workers. At the conceptual design stage, these controls are primarily defined by their safety functions. Safety significant structures, systems, and components (SSCs) that could provide the identified safety functions have been selected for the conceptual design. It is anticipated that some safety SSCs identified herein will be reclassified based on hazard and accident analyses performed in support of preliminary and detailed design.

  7. Fluor Hanford, Inc. Groundwater and Technical Integration Support (Master Project) Quality Assurance Management Plan

    SciTech Connect (OSTI)

    Fix, N. J.

    2008-02-20T23:59:59.000Z

    The scope of the Fluor Hanford, Inc. Groundwater and Technical Integration Support (Master Project) is to provide technical and integration support to Fluor Hanford, Inc., including operable unit investigations at 300-FF-5 and other groundwater operable units, strategic integration, technical integration and assessments, remediation decision support, and science and technology. This Quality Assurance Management Plan provides the quality assurance requirements and processes that will be followed by the Fluor Hanford, Inc. Groundwater and Technical Integration Support (Master Project).

  8. Enabling Services Dyslexia Support

    E-Print Network [OSTI]

    Anderson, Jim

    Enabling Services Dyslexia Support information for students website: www.soton.ac.uk/edusupport/dyslexia, George Thomas Building (37), Highfield Campus #12;2 Contents About Dyslexia Support.........................................................11 National and Local Organisations: .....................................12 #12;3 About Dyslexia

  9. TEMPORARY SUPPORT HUMAN RESOURCES

    E-Print Network [OSTI]

    Su, Xiao

    TEMPORARY SUPPORT HUMAN RESOURCES GUIDELINE Workforce Planning | One Washington Square | San José of the Request for Temporary Support, Workforce Planning will make a determination of the type of temporary

  10. Emergency Medical Support

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-08-21T23:59:59.000Z

    This volume defines coordination between emergency planners and emergency medical support. Canceled by DOE G 151.1-4.

  11. Enabling Services Dyslexia Support

    E-Print Network [OSTI]

    Anderson, Jim

    Enabling Services Dyslexia Support Information for students Support for students with specific learning difficulties such as dyslexia and dyspraxia Email: enable@soton.ac.uk Tel: 023 8059 7726 Student Services Centre Building (37) Highfield Campus #12;2 Contents About Dyslexia Support

  12. Office of Sustainability Support

    Broader source: Energy.gov [DOE]

    The Office of Sustainability Support serves as AUís organizational lead in partnering with the Departmentís Sustainability Performance Office to support the understanding and implementation of sustainability programs and requirements within the Department, including through supporting development and implementation of DOEís annual Strategic Sustainability Program Plan.

  13. Effective early planning and integration of NEPA into the decision-making process

    SciTech Connect (OSTI)

    Hannon, W.C.; Gensler, J.D. (Allen and Hamilton, Inc., Bethesda, MD (United States))

    1993-01-01T23:59:59.000Z

    This paper covers several key challenges and lessons learned in a federal agency assignment to educate the decision makers in NEPA and then to effectuate decisions early in the decision-making process based on the information derived from the NEPA process participants and documentation. Many of the key challenges faced by these federal decision makers stem, in part, from unfamiliarity with NEPA requirements and the benefits that can be derived by utilizing the process to support making an informed decision. Secondly, federal managers, at times believe that the process is a hindrance to accomplishing their mission. Lastly, there was a genuine belief that the public and other organizations within the agency should have no part in evaluating or commenting on the proposed action. Using the knowledge gained from drafting and reviewing EISs and EAs, Booz, Allen devised a systematic process that effectively: educated management on NEPA requirements; developed a management tool to guide and integrate the process; and encouraged the early and effective use of environmental and social information into all decision-making processes.

  14. Enriching Sustainable Transport Decisions: Inputs from Operations Research and the Management Sciences

    E-Print Network [OSTI]

    Wellar, Barry; Garrison, William

    2009-01-01T23:59:59.000Z

    to decision processes involving sustainable transportused to enrich sustainable transport decision processes andthe process of making decisions about sustainable transport

  15. Supported microporous ceramic membranes

    DOE Patents [OSTI]

    Webster, Elizabeth (Madison, WI); Anderson, Marc (Madison, WI)

    1993-01-01T23:59:59.000Z

    A method for permformation of microporous ceramic membranes onto a porous support includes placing a colloidal suspension of metal or metal oxide particles on one side of the porous support and exposing the other side of the porous support to a drying stream of gas or a reactive gas stream so that the particles are deposited on the drying side of the support as a gel. The gel so deposited can be sintered to form a supported ceramic membrane useful for ultrafiltration, reverse osmosis, or molecular sieving having mean pore sizes less than 100 Angstroms.

  16. Supported microporous ceramic membranes

    DOE Patents [OSTI]

    Webster, E.; Anderson, M.

    1993-12-14T23:59:59.000Z

    A method for the formation of microporous ceramic membranes onto a porous support includes placing a colloidal suspension of metal or metal oxide particles on one side of the porous support and exposing the other side of the porous support to a drying stream of gas or a reactive gas stream so that the particles are deposited on the drying side of the support as a gel. The gel so deposited can be sintered to form a supported ceramic membrane useful for ultrafiltration, reverse osmosis, or molecular sieving having mean pore sizes less than 100 Angstroms. 4 figures.

  17. Reduction of Transient Particulate Matter Spikes with Decision...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Transient Particulate Matter Spikes with Decision Tree Based Control Reduction of Transient Particulate Matter Spikes with Decision Tree Based Control Using a non-parametric...

  18. DOE Defends Decision to Revoke Energy Star Designation for Certain...

    Broader source: Energy.gov (indexed) [DOE]

    Decision to Revoke Energy Star Designation for Certain LG Refrigerators DOE Defends Decision to Revoke Energy Star Designation for Certain LG Refrigerators December 23, 2009 -...

  19. Materials Down Select Decisions Made Within DOE's Chemical Hydrogen...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Materials Down Select Decisions Made Within DOE's Chemical Hydrogen Storage Center of Excellence Materials Down Select Decisions Made Within DOE's Chemical Hydrogen Storage Center...

  20. Record of Decision for the Uranium Leasing Program Programmatic...

    Energy Savers [EERE]

    Record of Decision for the Uranium Leasing Program Programmatic Environmental Impact Statement Record of Decision for the Uranium Leasing Program Programmatic Environmental Impact...

  1. Naval Petroleum Reserve No. 3 Disposition Decision Analysis and...

    Energy Savers [EERE]

    Naval Petroleum Reserve No. 3 Disposition Decision Analysis and Timeline Naval Petroleum Reserve No. 3 Disposition Decision Analysis and Timeline This Report to Congress provides a...

  2. DOE Secretarial Memorandum on Improved Decision Making through...

    Energy Savers [EERE]

    Decision Making through the Integration of Program and Project Management with National Environmental Policy Act Compliance DOE Secretarial Memorandum on Improved Decision Making...

  3. Model Based Optimal Sensor Network Design for Condition Monitoring in an IGCC Plant

    SciTech Connect (OSTI)

    Kumar, Rajeeva; Kumar, Aditya; Dai, Dan; Seenumani, Gayathri; Down, John; Lopez, Rodrigo

    2012-12-31T23:59:59.000Z

    This report summarizes the achievements and final results of this program. The objective of this program is to develop a general model-based sensor network design methodology and tools to address key issues in the design of an optimal sensor network configuration: the type, location and number of sensors used in a network, for online condition monitoring. In particular, the focus in this work is to develop software tools for optimal sensor placement (OSP) and use these tools to design optimal sensor network configuration for online condition monitoring of gasifier refractory wear and radiant syngas cooler (RSC) fouling. The methodology developed will be applicable to sensing system design for online condition monitoring for broad range of applications. The overall approach consists of (i) defining condition monitoring requirement in terms of OSP and mapping these requirements in mathematical terms for OSP algorithm, (ii) analyzing trade-off of alternate OSP algorithms, down selecting the most relevant ones and developing them for IGCC applications (iii) enhancing the gasifier and RSC models as required by OSP algorithms, (iv) applying the developed OSP algorithm to design the optimal sensor network required for the condition monitoring of an IGCC gasifier refractory and RSC fouling. Two key requirements for OSP for condition monitoring are desired precision for the monitoring variables (e.g. refractory wear) and reliability of the proposed sensor network in the presence of expected sensor failures. The OSP problem is naturally posed within a Kalman filtering approach as an integer programming problem where the key requirements of precision and reliability are imposed as constraints. The optimization is performed over the overall network cost. Based on extensive literature survey two formulations were identified as being relevant to OSP for condition monitoring; one based on LMI formulation and the other being standard INLP formulation. Various algorithms to solve these two formulations were developed and validated. For a given OSP problem the computation efficiency largely depends on the ďsizeĒ of the problem. Initially a simplified 1-D gasifier model assuming axial and azimuthal symmetry was used to test out various OSP algorithms. Finally these algorithms were used to design the optimal sensor network for condition monitoring of IGCC gasifier refractory wear and RSC fouling. The sensors type and locations obtained as solution to the OSP problem were validated using model based sensing approach. The OSP algorithm has been developed in a modular form and has been packaged as a software tool for OSP design where a designer can explore various OSP design algorithm is a user friendly way. The OSP software tool is implemented in Matlab/Simulink© in-house. The tool also uses few optimization routines that are freely available on World Wide Web. In addition a modular Extended Kalman Filter (EKF) block has also been developed in Matlab/Simulink© which can be utilized for model based sensing of important process variables that are not directly measured through combining the online sensors with model based estimation once the hardware sensor and their locations has been finalized. The OSP algorithm details and the results of applying these algorithms to obtain optimal sensor location for condition monitoring of gasifier refractory wear and RSC fouling profile are summarized in this final report.

  4. Simulation of complex glazing products; from optical data measurements to model based predictive controls

    SciTech Connect (OSTI)

    Kohler, Christian

    2012-08-01T23:59:59.000Z

    Complex glazing systems such as venetian blinds, fritted glass and woven shades require more detailed optical and thermal input data for their components than specular non light-redirecting glazing systems. Various methods for measuring these data sets are described in this paper. These data sets are used in multiple simulation tools to model the thermal and optical properties of complex glazing systems. The output from these tools can be used to generate simplified rating values or as an input to other simulation tools such as whole building annual energy programs, or lighting analysis tools. I also describe some of the challenges of creating a rating system for these products and which factors affect this rating. A potential future direction of simulation and building operations is model based predictive controls, where detailed computer models are run in real-time, receiving data for an actual building and providing control input to building elements such as shades.

  5. Management decisions for cogeneration : executive summary

    E-Print Network [OSTI]

    Radcliffe, Robert R.

    1982-01-01T23:59:59.000Z

    This report summarizes two interdependent studies which explore the underlying factors in the decision by private, private non-profit, and public sector facility owners to invest in cogeneration technology. They employ ...

  6. Management Forecast Quality and Capital Investment Decisions

    E-Print Network [OSTI]

    Goodman, Theodore H.

    Corporate investment decisions require managers to forecast expected future cash flows from potential investments. Although these forecasts are a critical component of successful investing, they are not directly observable ...

  7. Management decisions for cogeneration : a survey analysis

    E-Print Network [OSTI]

    Radcliffe, Robert R.

    1982-01-01T23:59:59.000Z

    This study explores the underlying factors in the decision by private, private non-profit, and public sector facility owners to invest in cogeneration technology. It employs alpha factor analysis techniques to develop ...

  8. Unstructured Direct Elicitation of Decision Rules

    E-Print Network [OSTI]

    Ding, Min

    We investigate the feasibility of unstructured direct-elicitation (UDE) of decision rules consumers use to form consideration sets. With incentives to think hard and answer truthfully, tested formats ask respondents to ...

  9. Experiments on decision making and auctions

    E-Print Network [OSTI]

    Watson, Elizabeth Ann

    2009-06-02T23:59:59.000Z

    Theory (Gilboa and Schmeidler, 1995). The basic premise behind Case-Based Decision Theory (henceforth CBDT) is that a DM uses her past experience to help evaluate current choices, rather than constructing beliefs about certain states of the world...

  10. Decision making process and factors routing

    E-Print Network [OSTI]

    Sun, Yichen, S.M. Massachusetts Institute of Technology

    2013-01-01T23:59:59.000Z

    This research studies the decision-making process and the factors that affect truck routing. The data collection involved intercept interviews with truck drivers at three rest area and truck stops along major highways in ...

  11. Algorithmic Decision Theory and the Smart Grid

    E-Print Network [OSTI]

    professionals #12;8 Algorithmic Decision Theory ·First International Conference on ADT, Venice 2009. ·Second are borrowed from a presentation by Gil Bindewald of the Dept. of Energy to the SIAM Science Policy Committee

  12. Optimization Online - Optimizing Trading Decisions for Hydro ...

    E-Print Network [OSTI]

    Nils LŲhndorf

    2011-12-10T23:59:59.000Z

    Dec 10, 2011 ... To demonstrate the efficiency of the solution approach, we fit an econometric ... Keywords: OR in Energy, Approximate Dynamic Programming, Stochastic Programming, Markov Decision Processes ... Classification Scheme

  13. Technology and public participation in environmental decisions

    E-Print Network [OSTI]

    Yao, Basilia Wang

    2006-01-01T23:59:59.000Z

    Since 1970, the National Environmental Policy Act (NEPA) has served as the main instrument for analyzing the environmental impacts of federal agency decisions and providing the public with opportunities to participate in ...

  14. Review and model-based analysis of factors influencing soil carbon sequestration beneath switchgrass (Panicum virgatum)

    SciTech Connect (OSTI)

    Garten Jr, Charles T [ORNL

    2012-01-01T23:59:59.000Z

    Abstract. A simple, multi-compartment model was developed to predict soil carbon sequestration beneath switchgrass (Panicum virgatum) plantations in the southeastern United States. Soil carbon sequestration is an important component of sustainable switchgrass production for bioenergy because soil organic matter promotes water retention, nutrient supply, and soil properties that minimize erosion. A literature review was included for the purpose of model parameterization and five model-based experiments were conducted to predict how changes in environment (temperature) or crop management (cultivar, fertilization, and harvest efficiency) might affect soil carbon storage and nitrogen losses. Predictions of soil carbon sequestration were most sensitive to changes in annual biomass production, the ratio of belowground to aboveground biomass production, and temperature. Predictions of ecosystem nitrogen loss were most sensitive to changes in annual biomass production, the soil C/N ratio, and nitrogen remobilization efficiency (i.e., nitrogen cycling within the plant). Model-based experiments indicated that 1) soil carbon sequestration can be highly site specific depending on initial soil carbon stocks, temperature, and the amount of annual nitrogen fertilization, 2) response curves describing switchgrass yield as a function of annual nitrogen fertilization were important to model predictions, 3) plant improvements leading to greater belowground partitioning of biomass could increase soil carbon sequestration, 4) improvements in harvest efficiency have no indicated effects on soil carbon and nitrogen, but improve cumulative biomass yield, and 5) plant improvements that reduce organic matter decomposition rates could also increase soil carbon sequestration, even though the latter may not be consistent with desired improvements in plant tissue chemistry to maximize yields of cellulosic ethanol.

  15. ARAC: A support capability for emergency managers

    SciTech Connect (OSTI)

    Pace, J.C.; Sullivan, T.J.; Baskett, R.L. [and others

    1995-08-01T23:59:59.000Z

    This paper is intended to introduce to the non-radiological emergency management community the 20-year operational history of the Atmospheric Release Advisory Capability (ARAC), its concept of operations, and its applicability for use in support of emergency management decision makers. ARAC is a centralized federal facility for assessing atmospheric releases of hazardous materials in real time, using a robust suite of three-dimensional atmospheric transport and diffusion models, extensive geophysical and source-description databases, automated meteorological data acquisition systems, and experienced staff members. Although originally conceived to respond to nuclear accidents, the ARAC system has proven to be extremely adaptable, and has been used successfully during a wide variety of nonradiological hazardous chemical situations. ARAC represents a proven, validated, operational support capability for atmospheric hazardous releases.

  16. Parallel object-oriented decision tree system

    DOE Patents [OSTI]

    Kamath; Chandrika (Dublin, CA), Cantu-Paz; Erick (Oakland, CA)

    2006-02-28T23:59:59.000Z

    A data mining decision tree system that uncovers patterns, associations, anomalies, and other statistically significant structures in data by reading and displaying data files, extracting relevant features for each of the objects, and using a method of recognizing patterns among the objects based upon object features through a decision tree that reads the data, sorts the data if necessary, determines the best manner to split the data into subsets according to some criterion, and splits the data.

  17. Interoperability Checklist for Decision-Makers

    SciTech Connect (OSTI)

    Melton, Ronald B.; Ambrosio, Ron

    2010-12-09T23:59:59.000Z

    In April 2007 the GridWiseģ Architecture Council published the Introduction to Interoperability and Decision-Makerís Interoperability Checklist Version 1.0 as a tool to be used by policy makers and executives making smart grid policy or investment decisions. Subsequently there has been a significant amount of additional work on smart grid interoperability by the council and others. This paper summarizes the current efforts of the council to update the checklist to incorporate this subsequent work.

  18. Cryogenic support system

    DOE Patents [OSTI]

    Nicol, T.H.; Niemann, R.C.; Gonczy, J.D.

    1988-11-01T23:59:59.000Z

    A support system is disclosed for restraining large masses at very low or cryogenic temperatures. The support system employs a tie bar that is pivotally connected at opposite ends to an anchoring support member and a sliding support member. The tie bar extends substantially parallel to the longitudinal axis of the cold mass assembly, and comprises a rod that lengthens when cooled and a pair of end attachments that contract when cooled. The rod and end attachments are sized so that when the tie bar is cooled to cryogenic temperature, the net change in tie bar length is approximately zero. Longitudinal force directed against the cold mass assembly is distributed by the tie bar between the anchoring support member and the sliding support member. 7 figs.

  19. Cryogenic support system

    DOE Patents [OSTI]

    Nicol, Thomas H. (Aurora, IL); Niemann, Ralph C. (Downers Grove, IL); Gonczy, John D. (Oak Lawn, IL)

    1988-01-01T23:59:59.000Z

    A support system is disclosed for restraining large masses at very low or cryogenic temperatures. The support system employs a tie bar that is pivotally connected at opposite ends to an anchoring support member and a sliding support member. The tie bar extends substantially parallel to the longitudinal axis of the cold mass assembly, and comprises a rod that lengthens when cooled and a pair of end attachments that contract when cooled. The rod and end attachments are sized so that when the tie bar is cooled to cryogenic temperature, the net change in tie bar length is approximately zero. Longitudinal force directed against the cold mass assembly is distributed by the tie bar between the anchoring support member and the sliding support member.

  20. Conduction cooled tube supports

    DOE Patents [OSTI]

    Worley, Arthur C. (Mt. Tabor, NJ); Becht, IV, Charles (Morristown, NJ)

    1984-01-01T23:59:59.000Z

    In boilers, process tubes are suspended by means of support studs that are in thermal contact with and attached to the metal roof casing of the boiler and the upper bend portions of the process tubes. The support studs are sufficiently short that when the boiler is in use, the support studs are cooled by conduction of heat to the process tubes and the roof casing thereby maintaining the temperature of the stud so that it does not exceed 1400.degree. F.

  1. Crystalline titanate catalyst supports

    DOE Patents [OSTI]

    Anthony, R.G.; Dosch, R.G.

    1993-01-05T23:59:59.000Z

    A series of new crystalline titanates (CT) are shown to have considerable potential as catalyst supports. For Pd supported catalyst, the catalytic activity for pyrene hydrogenation was substantially different depending on the type of CT, and one was substantially more active than Pd on hydrous titanium oxide (HTO). For 1-hexene hydrogenation the activities of the new CTs were approximately the same as for the hydrous metal oxide supports.

  2. Vessel structural support system

    DOE Patents [OSTI]

    Jenko, James X. (N. Versailles, PA); Ott, Howard L. (Kiski Twp., Allegheny County, PA); Wilson, Robert M. (Plum Boro, PA); Wepfer, Robert M. (Murrysville, PA)

    1992-01-01T23:59:59.000Z

    Vessel structural support system for laterally and vertically supporting a vessel, such as a nuclear steam generator having an exterior bottom surface and a side surface thereon. The system includes a bracket connected to the bottom surface. A support column is pivotally connected to the bracket for vertically supporting the steam generator. The system also includes a base pad assembly connected pivotally to the support column for supporting the support column and the steam generator. The base pad assembly, which is capable of being brought to a level position by turning leveling nuts, is anchored to a floor. The system further includes a male key member attached to the side surface of the steam generator and a female stop member attached to an adjacent wall. The male key member and the female stop member coact to laterally support the steam generator. Moreover, the system includes a snubber assembly connected to the side surface of the steam generator and also attached to the adjacent wall for dampening lateral movement of the steam generator. In addition, the system includes a restraining member of "flat" attached to the side surface of the steam generator and a bumper attached to the adjacent wall. The flat and the bumper coact to further laterally support the steam generator.

  3. Air Handler Condensate Recovery at the Environmental Protection Agencyís (EPA) Science and Ecosystem Support Division

    Broader source: Energy.gov [DOE]

    Case study details EPA's decision to address water conservation and management for its Science and Ecosystem Support Division due to a severe drought. The plan aimed to reduce potable water usage through an air handler condensate recovery project.

  4. Enabling Services Dyslexia Support

    E-Print Network [OSTI]

    Molinari, Marc

    Enabling Services Dyslexia Support Information for Students Website: www.soton.ac.uk/edusupport/dyslexia Contact details Telephone: 023 8059 7726 Email: enable@soton.ac.uk #12;2 About Dyslexia Support · We are a team of specialist dyslexia practitioners within the University of Southampton's Enabling Services

  5. Nanostructured catalyst supports

    DOE Patents [OSTI]

    Zhu, Yimin; Goldman, Jay L.; Qian, Baixin; Stefan, Ionel C.

    2012-10-02T23:59:59.000Z

    The present invention relates to SiC nanostructures, including SiC nanopowder, SiC nanowires, and composites of SiC nanopowder and nanowires, which can be used as catalyst supports in membrane electrode assemblies and in fuel cells. The present invention also relates to composite catalyst supports comprising nanopowder and one or more inorganic nanowires for a membrane electrode assembly.

  6. Supporting Document Strategic Plan

    E-Print Network [OSTI]

    Auckland, University of

    1 Supporting Document Strategic Plan 2013≠2020 #12;2 Supporting Document Strategic Plan 2013 more critical to the University's future than was the case in 2005. The purpose of this document are summarised via a SWOT analysis in Appendix 1. This document should therefore be read in conjunction

  7. Steam generator support system

    DOE Patents [OSTI]

    Moldenhauer, J.E.

    1987-08-25T23:59:59.000Z

    A support system for connection to an outer surface of a J-shaped steam generator for use with a nuclear reactor or other liquid metal cooled power source is disclosed. The J-shaped steam generator is mounted with the bent portion at the bottom. An arrangement of elongated rod members provides both horizontal and vertical support for the steam generator. The rod members are interconnected to the steam generator assembly and a support structure in a manner which provides for thermal distortion of the steam generator without the transfer of bending moments to the support structure and in a like manner substantially minimizes forces being transferred between the support structure and the steam generator as a result of seismic disturbances. 4 figs.

  8. Steam generator support system

    DOE Patents [OSTI]

    Moldenhauer, James E. (Simi Valley, CA)

    1987-01-01T23:59:59.000Z

    A support system for connection to an outer surface of a J-shaped steam generator for use with a nuclear reactor or other liquid metal cooled power source. The J-shaped steam generator is mounted with the bent portion at the bottom. An arrangement of elongated rod members provides both horizontal and vertical support for the steam generator. The rod members are interconnected to the steam generator assembly and a support structure in a manner which provides for thermal distortion of the steam generator without the transfer of bending moments to the support structure and in a like manner substantially minimizes forces being transferred between the support structure and the steam generator as a result of seismic disturbances.

  9. Summary of Decisions- July 30 Ė August 3, 2012

    Broader source: Energy.gov [DOE]

    Decisions were issued on: - Freedom of Information Act Appeal - Personnel Security (10 CFR Part 710)

  10. Summary of Decisions- August 5, 2013- August 9, 2013

    Broader source: Energy.gov [DOE]

    Decisions were issued on: - Personnel Security (10 CFR Part 710) - Whistleblower Appeal (10 CFR Part 708)

  11. Technology Decisions Under Architectural Uncertainty: Informing Investment Decisions Through Tradespace Exploration

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Technology Decisions Under Architectural Uncertainty: Informing Investment Decisions Through§ Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 DOI: 10.2514/1.A32562 Although NASA has-term investment in the enabling technologies that will be required for these future systems. Given

  12. Illuminating the Decision Path: The Yucca Mountain Site Recommendation

    SciTech Connect (OSTI)

    Knox, E.; Slothouber, L.

    2003-02-25T23:59:59.000Z

    On February 14, 2002, U.S. Secretary of Energy Spencer Abraham provided to the President the ''Recommendation by the Secretary of Energy Regarding the Suitability of the Yucca Mountain Site for a Repository Under the Nuclear Waste Policy Act of 1982.'' This Recommendation, along with supporting materials, complied with statutory requirements for communicating a site recommendation to the President, and it did more: in 49 pages, the Recommendation also spoke directly to the Nation, illuminating the methodology and considerations that led toward the decision to recommend the site. Addressing technical suitability, national interests, and public concerns, the Recommendation helped the public understand the potential risks and benefits of repository development and placed those risks and benefits in a meaningful national context.

  13. Consortium Support (Fixed Support) | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energyon ArmedWaste andAccessCO2 InjectionDepartmentServicesImporter Q&AsSupport (Fixed

  14. Experimental studies of helical solenoid model based on YBCO tape-bridge joints

    SciTech Connect (OSTI)

    Yu, M.; Lombardo, V.; Turrioni, D.; Zlobin, A.V.; /Fermilab; Flangan, G.; /MUONS Inc., Batavia; Lopes, M.L.; /Fermilab; Johnson, R.P.; /Fermilab

    2011-06-01T23:59:59.000Z

    Helical solenoids that provide solenoid, helical dipole and helical gradient field components are designed for a helical cooling channel (HCC) proposed for cooling of muon beams in a muon collider. The high temperature superconductor (HTS), 12 mm wide and 0.1 mm thick YBCO tape, is used as the conductor for the highest-field section of HCC due to certain advantages, such as its electrical and mechanical properties. To study and address the design, and technological and performance issues related to magnets based on YBCO tapes, a short helical solenoid model based on double-pancake coils was designed, fabricated and tested at Fermilab. Splicing joints were made with Sn-Pb solder as the power leads and the connection between coils, which is the most critical element in the magnet that can limit the performance significantly. This paper summarizes the test results of YBCO tape and double-pancake coils in liquid nitrogen and liquid helium, and then focuses on the study of YBCO splices, including the soldering temperatures and pressures, and splice bending test.

  15. Model-Based Analysis of Electric Drive Options for Medium-Duty Parcel Delivery Vehicles: Preprint

    SciTech Connect (OSTI)

    Barnitt, R. A.; Brooker, A. D.; Ramroth, L.

    2010-12-01T23:59:59.000Z

    Medium-duty vehicles are used in a broad array of fleet applications, including parcel delivery. These vehicles are excellent candidates for electric drive applications due to their transient-intensive duty cycles, operation in densely populated areas, and relatively high fuel consumption and emissions. The National Renewable Energy Laboratory (NREL) conducted a robust assessment of parcel delivery routes and completed a model-based techno-economic analysis of hybrid electric vehicle (HEV) and plug-in hybrid electric vehicle configurations. First, NREL characterized parcel delivery vehicle usage patterns, most notably daily distance driven and drive cycle intensity. Second, drive-cycle analysis results framed the selection of drive cycles used to test a parcel delivery HEV on a chassis dynamometer. Next, measured fuel consumption results were used to validate simulated fuel consumption values derived from a dynamic model of the parcel delivery vehicle. Finally, NREL swept a matrix of 120 component size, usage, and cost combinations to assess impacts on fuel consumption and vehicle cost. The results illustrated the dependency of component sizing on drive-cycle intensity and daily distance driven and may allow parcel delivery fleets to match the most appropriate electric drive vehicle to their fleet usage profile.

  16. Autonomous Reactor Control Using Model Based Predictive Control for Space Propulsion Applications

    SciTech Connect (OSTI)

    Bragg-Sitton, Shannon M.; Holloway, James Paul [University of Michigan, Nuclear Engineering and Radiological Sciences, Ann Arbor, MI 48109 (United States)

    2005-02-06T23:59:59.000Z

    Reliable reactor control is important to reactor safety, both in terrestrial and space systems. For a space system, where the time for communication to Earth is significant, autonomous control is imperative. Based on feedback from reactor diagnostics, a controller must be able to automatically adjust to changes in reactor temperature and power level to maintain nominal operation without user intervention. Model-based predictive control (MBPC) (Clarke 1994; Morari 1994) is investigated as a potential control methodology for reactor start-up and transient operation in the presence of an external source. Bragg-Sitton and Holloway (2004) assessed the applicability of MBPC to reactor start-up from a cold, zero-power condition in the presence of a time-varying external radiation source, where large fluctuations in the external radiation source can significantly impact a reactor during start-up operations. The MBPC algorithm applied the point kinetics model to describe the reactor dynamics, using a single group of delayed neutrons; initial application considered a fast neutron lifetime (10-3 sec) to simplify calculations during initial controller analysis. The present study will more accurately specify the dynamics of a fast reactor, using a more appropriate fast neutron lifetime (10-7 sec) than in the previous work. Controller stability will also be assessed by carefully considering the dependencies of each component in the defined cost (objective) function and its subsequent effect on the selected 'optimal' control maneuvers.

  17. Model-based performance monitoring: Review of diagnostic methods and chiller case study

    SciTech Connect (OSTI)

    Haves, Phil; Khalsa, Sat Kartar

    2000-05-01T23:59:59.000Z

    The paper commences by reviewing the variety of technical approaches to the problem of detecting and diagnosing faulty operation in order to improve the actual performance of buildings. The review covers manual and automated methods, active testing and passive monitoring, the different classes of models used in fault detection, and methods of diagnosis. The process of model-based fault detection is then illustrated by describing the use of relatively simple empirical models of chiller energy performance to monitor equipment degradation and control problems. The CoolTools(trademark) chiller model identification package is used to fit the DOE-2 chiller model to on-site measurements from a building instrumented with high quality sensors. The need for simple algorithms to reject transient data, detect power surges and identify control problems is discussed, as is the use of energy balance checks to detect sensor problems. The accuracy with which the chiller model can be expected! to predict performance is assessed from the goodness of fit obtained and the implications for fault detection sensitivity and sensor accuracy requirements are discussed. A case study is described in which the model was applied retroactively to high-quality data collected in a San Francisco office building as part of a related project (Piette et al. 1999).

  18. A Study of Practice Issues in Model-Based Verification Using the Symbolic Model Verifier (SMV)

    E-Print Network [OSTI]

    Using The; Grama R. Srinivasan; David P. Gluch; Mario Moya

    1998-01-01T23:59:59.000Z

    vii Acknowledgements ix 1 Introduction 1 2 Background 3 2.1 Model-Based Verification 3 2.2 The Simplex Coordinated Demonstration System 4 3 Modeling with Statecharts 7 3.1 Statechart Notation 7 3.2 Creating the Statechart Model 8 4 Modeling Checking with the Symbolic Model Verifier (SMV) 11 4.1 Model Checking Steps 11 4.2 SMV Modeling Notation: 12 4.3 Creating the SMV Model 13 4.3.1 Learning SMV 13 4.3.2 Variables 14 4.3.3 Model Refinement 14 4.3.4 Iterations of the Model 15 4.3.5 Syntax Checking 16 4.4 Checking the Claims 16 4.4.1 Claim 1 17 4.4.2 Claim 2 17 4.4.3 Claim 3: 18 5 Process Metrics and Observations 21 5.1 Learning the System 21 5.2 Learning SMV Modeling Language and Tool 22 5.3 Modeling the System 22 5.4 Making Changes to the Models 23 5.5 Generating and Checking Claims 24 ii CMU/SEI-98-TR-013 6 Summary 25 6.1 Observations on the Modeling Effort 25 6.2 Observations on the Practice 26 6.3 Observations on Applicability 27 6.4 Future Work 27 7 References 29 Appendix ...

  19. Naturalistic Decision Making for Power System Operators

    SciTech Connect (OSTI)

    Greitzer, Frank L.; Podmore, Robin; Robinson, Marck; Ey, Pamela

    2010-02-01T23:59:59.000Z

    Motivation Ė Investigations of large-scale outages in the North American interconnected electric system often attribute the causes to three Tís: Trees, Training and Tools. To document and understand the mental processes used by expert operators when making critical decisions, a naturalistic decision making (NDM) model was developed. Transcripts of conversations were analyzed to reveal and assess NDM-based performance criteria. Findings/Design Ė An item analysis indicated that the operatorsí Situation Awareness Levels, mental models, and mental simulations can be mapped at different points in the training scenario. This may identify improved training methods or analytical/ visualization tools. Originality/Value Ė This study applies for the first time, the concepts of Recognition Primed Decision Making, Situation Awareness Levels and Cognitive Task Analysis to training of electric power system operators. Take away message Ė The NDM approach provides a viable framework for systematic training management to accelerate learning in simulator-based training scenarios for power system operators and teams.

  20. Support Requirements for Synfuels

    E-Print Network [OSTI]

    Hyland, M. J.

    1981-01-01T23:59:59.000Z

    FORMS OF GOVERNMENT SUPPORT A number of possibilities exist to get the first wave of Synthetic Fuel plants built (Figure 9). GO/CO's (Government Owned/Contractor Operated plants) - We built plants this way during WWII (Synthetic Rubber etc...

  1. Chromatography resin support

    DOE Patents [OSTI]

    Dobos, James G. (North Augusta, SC)

    2002-01-01T23:59:59.000Z

    An apparatus and method of using an improved chromatography resin support is disclosed. The chromatography support platform is provided by a stainless steel hollow cylinder adapted for being inserted into a chromatography column. An exterior wall of the stainless steel cylinder defines a groove for carrying therein an "O"-ring. The upper surface of the stainless steel column is covered by a fine stainless steel mesh welded to the edges of the stainless steel cylinder. When placed upon a receiving ledge defined within a chromatography column, the "O"-ring provides a fluid tight seal with the inner edge wall of the chromatography cylinder. The stainless steel mesh supports the chromatography matrix and provides a back flushable support which is economical and simple to construct.

  2. Program Support Specialist

    Broader source: Energy.gov [DOE]

    The Office of Science is the single largest supporter of basic research in the physical sciences in the United States, providing more than 40 percent of total funding for this vital area of...

  3. Administrative Support Specialist

    Broader source: Energy.gov [DOE]

    The Office of Science is the single largest supporter of basic research in the physical sciences in the United States, providing more than 40 percent of total funding for this vital area of...

  4. Fuel rod support grid

    DOE Patents [OSTI]

    Downs, Robert E. (Monroeville, PA); Schwallie, Ambrose L. (Greensburg, PA)

    1985-01-01T23:59:59.000Z

    A grid for the support of nuclear fuel rods arranged in a triangular array. The grid is formed by concentric rings of strap joined by radially arranged web sections.

  5. Supported inorganic membranes

    DOE Patents [OSTI]

    Sehgal, Rakesh (Albuquerque, NM); Brinker, Charles Jeffrey (Albuquerque, NM)

    1998-01-01T23:59:59.000Z

    Supported inorganic membranes capable of molecular sieving, and methods for their production, are provided. The subject membranes exhibit high flux and high selectivity. The subject membranes are substantially defect free and less than about 100 nm thick. The pores of the subject membranes have an average critical pore radius of less than about 5 .ANG., and have a narrow pore size distribution. The subject membranes are prepared by coating a porous substrate with a polymeric sol, preferably under conditions of low relative pressure of the liquid constituents of the sol. The coated substrate is dried and calcined to produce the subject supported membrane. Also provided are methods of derivatizing the surface of supported inorganic membranes with metal alkoxides. The subject membranes find use in a variety of applications, such as the separation of constituents of gaseous streams, as catalysts and catalyst supports, and the like.

  6. SAE Standards Support

    SciTech Connect (OSTI)

    Gowri, Krishnan

    2012-11-01T23:59:59.000Z

    This report summarizes PNNL activities in FY 2012 in support of the following two vehicle communication standards activities: ē Technical support to SAE, ANSI and NIST technical working groups. PNNL actively contributed to the use case development, harmonization, and evaluation of the SAE standards activities for vehicle to grid communication ē Tested and validated a set of potential technologies for meeting SAE communication requirements and provided recommendations for technology choices.

  7. Local environmental decision-making with the California environmental quality act: a Santa Barbara case study

    E-Print Network [OSTI]

    Karstadt, Kent Leonard

    1985-01-01T23:59:59.000Z

    ). The ERC and staff review projects, hold public hearings, and certify environmental documents. Staff support is provided through the Planning Division of the Community Development Department. Decisions on the need for an EIR may be appealed to the City..., it appears that hotel projects generated the most controversy and comments, followed by residential projects. This holds true for both agencies. Commercial projects in the City were also controversial. Since the City projects were often in 30 areas...

  8. Facility Energy Decision System (FEDS) Assessment Report for Fort Buchanan, Puerto Rico

    SciTech Connect (OSTI)

    Chvala, William D.; Solana, Amy E.; Dixon, Douglas R.

    2005-02-01T23:59:59.000Z

    This report documents the findings of the Facility Energy Decision System (FEDS) assessment at Fort Buchanan, Puerto Rico, by a team of PNNL engineers under contract to the Installation Management Agency (IMA) Southeast Region Office (SERO). Funding support was also provided by the Department of Energy's Federal Energy Management Program. The purpose of the assessment was to determine how energy is consumed at Fort Buchanan, identify the most cost-effective energy retrofit measures, and calculate the potential energy and cost savings.

  9. 3D model-based tracking for UAV position control Celine Teuli`ere, Laurent Eck, Eric Marchand, Nicolas Guenard

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    3D model-based tracking for UAV position control C¬īeline Teuli`ere, Laurent Eck, Eric Marchand control of an unmanned aerial vehi- cle (UAV). Given a 3D model of the edges of its environment, the UAV approach. I. INTRODUCTION Unmanned aerial vehicles (UAVs) have a large range of in- door or outdoor

  10. A Case Study on the Model-Based Design and Integration of Automotive Cyber-Physical Systems

    E-Print Network [OSTI]

    Koutsoukos, Xenofon D.

    A Case Study on the Model-Based Design and Integration of Automotive Cyber-Physical Systems Di--Cyber-physical systems (CPS), such as automotive systems, are very difficult to design due to the tight interactions of an integrated automotive control system. The system is composed of two independently designed controllers

  11. 654 IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, VOL. 18, NO. 3, MAY 2010 Model-Based Electrochemical Estimation and

    E-Print Network [OSTI]

    in the literature. Accurate estimation of the battery's internal electrochemical state enables an expanded range governor, state-of-charge (SOC) estimation. I. INTRODUCTION MODEL-BASED battery monitoring algorithms theories, captures relevant solid-state and electrolyte diffusion dynamics and accurately predicts current

  12. Experimental analysis and model-based optimization of microalgae growth in photo-bioreactors using flue gas

    E-Print Network [OSTI]

    Subramanian, Venkat

    Experimental analysis and model-based optimization of microalgae growth in photo-bioreactors using]. Besides physical and chemical methods for sequestration of CO2 from flue gas [2], microalgae culture holds great potential for converting flue gas to biomass. Microalgae can capture solar energy more efficiently

  13. BFEPM:Best Fit Energy Prediction Modeling Based on CPU Utilization Xiao Zhang, Jianjun Lu, Xiao Qin

    E-Print Network [OSTI]

    Qin, Xiao

    different servers have different energy consumption characters even with same CPU. In this paper, we present BFEPM, a best fit energy prediction model. It choose best model based on the power consumption benchmark different machines to estimate the real-time energy consumption. The results show our model can get better

  14. 3D Model Based Pose Estimation For Omnidirectional Stereovision Guillaume Caron, Eric Marchand and El Mustapha Mouaddib

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    3D Model Based Pose Estimation For Omnidirectional Stereovision Guillaume Caron, Eric Marchand, FRANCE; e-mail {guillaume.caron, mouaddib}@u-picardie.fr Eric Marchand is with INRIA, IRISA, Lagadic, 35000 Rennes, France; e-mail {Eric.Marchand}@irisa.fr Fig. 1. Our sensor: orthographic camera, parabolic

  15. 3-D Mobile-to-Mobile channel tracking with first-order autoregressive model-based Kalman filter

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 3-D Mobile-to-Mobile channel tracking with first-order autoregressive model-based Kalman filter estimation in Mobile- to-Mobile communication assuming three-dimensional scattering environment and the approximated expression of the estimation variance in output of the Kalman filter, both for Fixed-to-Mobile

  16. Speech Enhancement of Spectral Magnitude Bin Trajectories using Gaussian Mixture-Model based Minimum Mean-Square Error Estimators

    E-Print Network [OSTI]

    Speech Enhancement of Spectral Magnitude Bin Trajectories using Gaussian Mixture-Model based mean-square error es- timators have been applied to speech enhancement in the tem- poral, transform (e estimator for 8 kHz telephone-quality speech. Index Terms: Speech enhancement, minimum mean-square er- ror

  17. Improving Testing of Enterprise Systems by Model-based Testing on Graphical User Sebastian Wieczorek and Alin Stefanescu

    E-Print Network [OSTI]

    Southampton, University of

    complexity, an efficient testing approach should be automatic. Since the underlying business processesImproving Testing of Enterprise Systems by Model-based Testing on Graphical User Interfaces--Software development and testing of Enterprise Resource Planning (ERP) systems demands dedicated methods to tackle its

  18. Model-Based Testing of Automotive Electronic Control Units Ghmann, Clemens {clemens.guehmann@tu-berlin.de}

    E-Print Network [OSTI]

    Wichmann, Felix

    Model-Based Testing of Automotive Electronic Control Units G√ľhmann, Clemens {clemens.guehmann@tu-berlin.de} Technische Universit√§t Berlin, Department of Electronic Measurement and Diagnostic Technology Einsteinufer 17 by networking electronic control units (ECUs), and by implementation of the functions distributed throughout

  19. ghMulti-Level Approach for Model-Based Predictive Control (MPC) in Buildings: A Preliminary Overview

    E-Print Network [OSTI]

    Candanedo, J. A.; Dehkordi, V. R.

    2013-01-01T23:59:59.000Z

    Model-based predictive control (MPC) has emerged in recent years as a promising approach to building operation. MPC uses models of the system(s) under control -and knowledge about future disturbances- to select an optimal set of actions. Despite its...

  20. Towards a Model-based Application Integration Framework for Smart Oilfields Cong Zhang, Amol Bakshi, Viktor Prasanna

    E-Print Network [OSTI]

    Prasanna, Viktor K.

    Towards a Model-based Application Integration Framework for Smart Oilfields Cong Zhang, Amol Bakshi- duction has led to an industry-wide push to develop smart oilfields for the future. Applications for smart oilfields are characterized with heterogeneous data and resources, com- plicated business processes

  1. Model-based Thermal Anomaly Detection in Cloud Datacenters Eun Kyung Lee, Hariharasudhan Viswanathan, and Dario Pompili

    E-Print Network [OSTI]

    Pompili, Dario

    Model-based Thermal Anomaly Detection in Cloud Datacenters Eun Kyung Lee, Hariharasudhan datacenters make them prone to strategic attacks, misconfigurations, and failures (cooling as well) and observed thermal maps (obtained using thermal cameras) of datacenters is proposed. In addition, a Thermal

  2. To appear in the ACM APGV 2007 symposium proceedings Hybrid Image-/Model-Based Gaze-Contingent Rendering

    E-Print Network [OSTI]

    Duchowski, Andrew T.

    -Contingent Rendering Hunter Murphy Andrew T. Duchowski School of Computing, Clemson University Figure 1: The original is displayed. Abstract A nonisotropic hybrid image-/model-based gaze-contingent render- ing technique utilizing: gpu, perceptual rendering, gaze-contingent rendering 1 Introduction The contributions of this paper

  3. A Bottom-Up Approach to Verification of Hybrid Model-Based Hierarchical Controllers with application to Underwater Vehicles

    E-Print Network [OSTI]

    Kumar, Ratnesh

    A Bottom-Up Approach to Verification of Hybrid Model-Based Hierarchical Controllers with application to Underwater Vehicles M. O'Connor, S. Tangirala, R. Kumar, S. Bhattacharyya, M. Sznaier and L.E. Holloway Abstract -- We present a systematic method of verification for a hierarchical hybrid system

  4. Efficient model-based leak detection in boiler steam-water systems Xi Sun, Tongwen Chen *, Horacio J. Marquez

    E-Print Network [OSTI]

    Marquez, Horacio J.

    Efficient model-based leak detection in boiler steam-water systems Xi Sun, Tongwen Chen *, Horacio detection in boiler steam-water systems. The algorithm has been tested using real industrial data from Syncrude Canada, and has proven to be effective in detection of boiler tube or steam leaks; proper

  5. Abstract--This paper proposes a stochastic wind power model based on an autoregressive integrated moving average (ARIMA)

    E-Print Network [OSTI]

    Bak-Jensen, Birgitte

    , for instance to capture rare events such as extreme wind situations. Thus, stochastic wind power models1 Abstract-- This paper proposes a stochastic wind power model based on an autoregressive limits of stochastic wind power generation. The model is constructed based on wind power measurement

  6. Development of Decision Support Software to Estimate the Cost of Transporting and Ginning of Seed Cotton

    E-Print Network [OSTI]

    Grier, Jordan Lee

    2014-08-13T23:59:59.000Z

    distance to modules (D). ................................... 37 Table 11. Results of ANOVA showing that average distance and %U did not result in a statistically significant change in variable costs per mile at a 95% confidence interval for a module... in variable costs per mile at a 95% confidence interval for a semi-tractor trailer. .......................................... 46 1 CHAPTER I INTRODUCTION, LITERATURE REVIEW, AND OBJECTIVES Texas has experienced a reduction in the total...

  7. Global vs. local decision support for multiple independent UAV schedule management

    E-Print Network [OSTI]

    Cummings, M.l

    2010-01-01T23:59:59.000Z

    As unmanned aerial vehicles (UAVs) become increasingly autonomous, time-critical and complex single-operator systems will require advance prediction and mitigation of schedule conflicts. However, actions that

  8. Contingency Visualization for Real-Time Decision Support in Grid Operation

    SciTech Connect (OSTI)

    Huang, Zhenyu; Chen, Yousu; Greitzer, Frank L.; Eubank, Robert

    2011-10-17T23:59:59.000Z

    Contingency analysis is a key function in control centers to assess the impact of various combinations of power system component failures based on state estimates. Today's practice analyzes only a limited set of contingency cases and lacks of capabilities in presenting the results in a way that is easy to be understood by grid operators in a short time frame of seconds to minutes. This limits the ability to operate the power grid for better reliability and efficiency. Faster analysis of more cases is required to safely and reliably operate today's power grids which have a less margin and more intermittent renewable energy sources. This paper explores the advancements in high performance computing and visual analytics for improving the computational speed and the information representation in contingency analysis. A framework of advanced contingency analysis is proposed. Case studies using the Western Electricity Coordinating Council (WECC) system are presented to demonstrate the feasibility of the proposed framework. Comparative assessment by real power grid operators has been performed as part of a WECC operator training class. The assessment results demonstrate the validity of the proposed contingency analysis and visualization approach.

  9. Decision Support Tool for Prioritization of Resources Dedicated to Surveillance and Maintenance Activities

    Broader source: Energy.gov [DOE]

    The Department of Energy (DOE) currently faces a difficult task in the disposition of excess facilities. Many of these facilities are large and complex and contain potentially hazardous substances.

  10. Legacy Systems Assessment to Support Decision Making Aniello Cimitile*, Anna Rita Fasolino**, Filippo Lanubile***

    E-Print Network [OSTI]

    Lanubile, Filippo

    of the system (reduction of size and complexity) to ordinary preventive maintenance (re- documentation of the maintenance productivity could be achieved by promoting preventive maintenance. It also stressed the need, restructuring and reengineering) or even to an extraordinary process of adaptive maintenance (interface

  11. The role of transfer-appropriate processing in the effectiveness of decision-support graphics

    E-Print Network [OSTI]

    Stiso, Michael E.

    2004-11-15T23:59:59.000Z

    of the task that normally must be mentally represented-namely, trajectory and relative altitude. The assumption is that those graphics will encourage a type of processing different from that used in their absence. If so, then according to the theory...

  12. Decision Support System (DSS) for Machine Selection: A Cost Minimization Model

    E-Print Network [OSTI]

    Mendez Pinero, Mayra I.

    2010-01-16T23:59:59.000Z

    .3) = SPs?%SPx s ?TTx? $SPWKS?HRS + UC??$UCu u ?PTxjk ? ?, ? + $MM 2?HRS ? PTxjk+SUxjk ? ?, ? SUxjk... to Appendix A for details). The first screen on the Microsoft Excel model presents the main menu with the options to go to the data sheet to enter or revise data, or to go to the calculations and results sheet to see results (refer to Figure 2.1). When...

  13. Colorado State University A decision support system for managing and quantifying the risks and

    E-Print Network [OSTI]

    designed for the park. Alternatively the data can be added to virtual earth browser such as Google Earth IS STARFIRE? STARFire is an analytical system collaboratively developed with the WESTFIRE Research Center management problems such as optimal location of fuel treatments, the potential benefit and risk of allowing

  14. Human Missions to Mars: Designing decision-support tools for a safety critical environment

    E-Print Network [OSTI]

    Whitely, I.; Bogatyreva, O.; Johnson, C.W.

    Whitely,I. Bogatyreva,O. Johnson,C.W. Wolff,M. Townend,M. Proceedings of the 3rd International Association for the Advancement of Space Safety (IAASS) Conference, ‚??Building a safer space together‚??, International Association for the Advancement of Space Safety (IAASS) Rome, Italy

  15. Spatio-Temporal Decision Support System for Natural Crisis Management with TweetComP1

    E-Print Network [OSTI]

    Middleton, Stuart E.

    Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Karlsruhe, Germany, andrea

  16. Decision Diagrams: Fast and Flexible Support for Case Retrieval and Recommendation

    E-Print Network [OSTI]

    Bridge, Derek

    Ginty and Mr. James Reilly for making their Laptops and Cameras data available to us. #12;Location Bathrooms, Derek Bridge, and Nic Wilson University College Cork, Cork, Ireland rn1@cs.ucc.ie, d.bridge@cs.ucc.ie, n is any system that automatically constructs an index structure into the case base (e.g. the k-d trees

  17. In Technology Studies, 3(2):263-267, 1996 Decision Support Systems in Genetic Counseling

    E-Print Network [OSTI]

    Druzdzel, Marek J.

    confronted with test results indicating possible genetic disorders of their babies? Can computer programs, command and control of military combat units, control of nuclear power plants, management of complex empirical evidence suggests that experts indeed perform better than novices within their area of expertise

  18. The development and implementation of a cash flow decision support system

    E-Print Network [OSTI]

    Kilcoyne, Suzanne Jo

    1983-01-01T23:59:59.000Z

    - line method, which is Dt ? I/N After 1982, the basis must be adjusted if the Investment Tax Credit is claimed. The new basis is calculated as follows: 8 = 8 - (0. 5)(ITC amount) 15 Table 2. ACRS Real Property Recovery Percentages Month Placed... is equal to 240 since the 11fe of the project is 20 years and there are 12 months with1n each year. The graphing procedure begins with a breaking down of the partition into 5 month intervals. The present value at the beginning of each 1nterval...

  19. Decision Support Tool for Predicting Aircraft Arrival Rates, Ground Delay Programs, and Airport

    E-Print Network [OSTI]

    associated with construction, it is unlikely that any new airports will be built in the near future went on to predict that the these airports will be at 89% capacity by 2012 [2]. The congestion problem

  20. Introducing the use of integrated Decision Support System in Natural Resources Planning

    E-Print Network [OSTI]

    Park, Hye Yeon, S.M. Massachusetts Institute of Technology

    2008-01-01T23:59:59.000Z

    The target subject of Natural Resources Planning (NRP) includes various systems and their elements, all of which are centered around the natural resource system. Given this characteristic complexity and a high degree of ...

  1. A Bayesian Network Methodology for Infrastructure Seismic Risk Assessment and Decision Support

    E-Print Network [OSTI]

    Bensi, Michelle Terese

    2010-01-01T23:59:59.000Z

    fails or the emergency batteries are dead. traffic signalpower trigger fails emergency batteries are dead Figure 6.2:is shown in Figure 6.4. batteries work [signal operational

  2. A Decision Support Tool for Building Leasing Strategies to Achieve the Executive Order Mandate

    E-Print Network [OSTI]

    #12;Electricity Projections 10 Source: U.S. Energy Information Administration 2011 US Government Spent Buildings · 30% Lower Operating expense · Use less energy ­ 25% decrease in electricity consumptions ­ 11 for Federal Government Green Buildings Members: Alexandre Cheytanov Nathan Bales Paramjeet Khanna Chris Swift

  3. A Multi-Agent Decision Support System for Supply Chain Yevgeniya Kovalchuk

    E-Print Network [OSTI]

    Fernandez, Thomas

    Voelker helped me to maintain my skills in Software Engineering. I appreciate the help of Dr Maria Fasli Tverdohleb, Ludmila Mova, Olga Kushik, Alina Afanasjeva, Andrej Alisov, Dmitry Ananjev, Alexander Turkinov

  4. Multimedia-based decision support system for hazards recognition and abatement

    DOE Patents [OSTI]

    Czachowski, John B. (Knoxville, TN); Zoldak, John T. (Alexandria, VA)

    1998-01-01T23:59:59.000Z

    A system for monitoring a site includes a portable data collection module used in the field to collect site specific data, and a processor module located at a central location. The data collection module displays choices of categories of findings, and then specific findings within each category. A selected specific finding is then displayed in report form with a citation to the specific code or statutory requirement, as well as a recommended course of action and an abatement date.

  5. Robust parameter extraction for decision support using multimodal intensive care data

    E-Print Network [OSTI]

    Clifford, Gari D.

    Digital information flow within the intensive care unit (ICU) continues to grow, with advances in technology and computational biology. Recent developments in the integration and archiving of these data have resulted in ...

  6. E-Print Network 3.0 - argos decision support Sample Search Results

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    gliders (Section 5), repeat Source: Laboratoire d'Ocanographie de Villefranche, Marine Optics and Remote Sensing Lab. Collection: Environmental Sciences and Ecology ;...

  7. A Bayesian Network Methodology for Infrastructure Seismic Risk Assessment and Decision Support

    E-Print Network [OSTI]

    Bensi, Michelle Terese

    2010-01-01T23:59:59.000Z

    distribution systems are available from several authors including Vanzi (1996), who models the reliabilitysystem reliability. For example, while the retrofit of a water distributiondistributions systems. Furthermore, it is known that system interdependency can strongly affect system reliability.

  8. Trade-off Analysis of Decision Support Systems for Time Sensitive

    E-Print Network [OSTI]

    USYouthSoccerPlayers NumberofRegisteredUSYouthSoccerPlayers Time (Years) Registered US Youth Soccer Players vs. Time Virginia · PROBLEM STATEMENT · MISSION REQUIREMENTS · DESIGN OF EXPERIMENT · VALUE HIERARCHY/ UTILITY · CONCLUSION 1978 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 TotalNumberofRegistered

  9. Combining lifecycle and risk assessments of mineral waste reuse scenarios for decision making support

    SciTech Connect (OSTI)

    Benetto, Enrico [ECOINNOVA France, 47 rue M. Flandin, 69003 Lyon Cedex 3 (France)]. E-mail: benetto@ecoinnova.it; Tiruta-Barna, Ligia [INSA Lyon-LAEPSI, 20 rue A.Einstein, 69621 Villeurbanne cedex, since November 2005: INSA Toulouse-LIPE, 135 av. de Rangueil, 31077 Toulouse cedex France (France)]. E-mail: ligia.barna@insa-toulouse.fr; Perrodin, Yves [ENTPE-LSE, rue M.Audin, 69518 Vaulx-en-Velin cedex (France)]. E-mail: perrodin@entpe.fr

    2007-04-15T23:59:59.000Z

    Lack of regulations and standards on mineral waste recycling makes Life Cycle Assessment (LCA) and Ecological Risk Assessment (ERA) useful methods for environmental assessment of recycling scenarios. An unsolved problem arises whenever two scenarios of recycling have to be compared according to both ERA and LCA impact results considered simultaneously. A methodology to combine LCA and ERA results and tools toward Integrated Environmental Assessment (IEA) is proposed together with three application examples based on case studies. The most effective combination approach is to define further impact categories for ERA to be considered with the standard LCA ones. Then, the use of a multicriteria analysis method was proved to be an efficient way to rank alternative scenarios with respect to all the results. The key issues to be further researched are discussed and proposals are suggested.

  10. A Software Decision Support System 1. Purpose of MKA-2 system

    E-Print Network [OSTI]

    Mustakerov, Ivan

    optimized in the feasible set of alternatives. In the general case there does not exist one alternative, credits, products, innovations, designs, costs, profits, portfolios, etc. For the purpose of better for evaluation are the following: · Manpower for running the plant (number of persons); · Power (Megawatts

  11. Z .Decision Support Systems 30 2001 279288 www.elsevier.comrlocaterdsw

    E-Print Network [OSTI]

    Oren, Shmuel S.

    and financial options in demand-side electricity contracts Shmuel S. Oren) Department of Industrial Engineering and Operations Research, Uni√?ersity of California at Berkeley, Berkeley, CA 94720, USA Abstract Z .In a competitive electricity market traditional demand-side management DSM options offering customers curtailable

  12. SCHEDULING TVA'S RESERVOIRS WITH RIVERWARE Timothy M. Magee, Operations Research Analyst, Center for Advanced Decision Support

    E-Print Network [OSTI]

    Ware's capabilities with TVA's daily operations scheduling models which optimize hydropower value while meeting non and operates 29 conventional hydropower plants and one pumped storage hydropower plant in the Tennessee Valley to hydropower generation, the reservoir system provides other beneficial services throughout the Tennessee

  13. Risk Assessment supporting the decision on the initial selection of supplemental ILAW technologies

    SciTech Connect (OSTI)

    MANN, F. M.

    2003-09-29T23:59:59.000Z

    A risk assessment on the long-term environmental impact of various potential waste forms was conducted at the request of the Hanford Site's Mission Acceleration Initiative Team. These potential waste forms (bulk vitrification, cast stone, and steam reformer) may treat some of the low-activity waste currently planned to be treated at the Waste Treatment Plant.

  14. The design of a decision support system for supply chain risk management

    E-Print Network [OSTI]

    Deshmukh, Vinay (Vinay D.)

    2007-01-01T23:59:59.000Z

    Where can things go wrong? This deceptively simple question has fascinated mankind since time immemorial. The question in fact forms the basis of risk management. The focus of this thesis is the risk management of supply ...

  15. Human-Automation Collaboration in Complex Multivariate Resource Allocation Decision Support Systems

    E-Print Network [OSTI]

    Cummings, M.L.

    2010-01-01T23:59:59.000Z

    In resource allocation problems for systems with moving planning horizons and significant uncertainty, typical of supervisory control environments, it is critical that some balance of human-automation collaboration be ...

  16. Water Distribution System Monitoring and Decision Support Using a Wireless Sensor Network

    E-Print Network [OSTI]

    Allen, Michael

    Water distribution systems comprise labyrinthine networks of pipes, often in poor states of repair, that are buried beneath our city streets and relatively inaccessible. Engineers who manage these systems need reliable ...

  17. Use of GIS as a Real Time Decision Support System for Irrigation Districts

    E-Print Network [OSTI]

    Bonaiti, G.; Fipps, G.

    The objectives were to provide the districts with a simple tool that would improve the availability of pumps and gates data from the existing SCADA system, improve the management of water orders, and allow access of data by account holders through...

  18. Using Simulation for Decision Support: Lessons Learned from FireGrid†

    E-Print Network [OSTI]

    Wickler, Gerhard; Beckett, George; Han, Liangxiu; Koo, Sung-Han; Potter, Stephen; Pringle, Gavin; Tate, Austin

    This paper describes some of the lessons learned from the FireGrid project. It starts with a brief overview of the project. The discussion of the lessons learned that follows is intended for others attempting to develop a similar system, where...

  19. Potential for Improving Decision Support Catalysed by Semantic Interoperability Between Systems

    E-Print Network [OSTI]

    Datta, Shoumen

    2008-07-31T23:59:59.000Z

    Convergence of systems and intelligent automation may augment the ability of supply chain operations or healthcare networks to rapidly adapt to changes or respond, with minimal human intervention, under ideal conditions. ...

  20. A Geographical Information System-Based Decision Support Tool: GeoFreight

    E-Print Network [OSTI]

    Laboratory managed by UT-Battelle, LLC for the U.S. Department of Energy under Contract number DE-AC05-00OR22725 Research Areas Freight Flows Passenger Flows Supply Chain Efficiency Transportation: Energy@ornl.gov or hwanghl@ornl.gov The Port Statistics menu, accessed from the Major Ports map, allows the user to examine

  1. E-Print Network 3.0 - automated decision support Sample Search...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    and Information Sciences Page: << < 1 2 3 4 5 > >> Page: << < 1 2 3 4 5 > >> 21 Operator Scheduling Strategies in Supervisory Control of Multiple UAVs M.L. Cummings* Summary:...

  2. A TEAMWORK TEST-BED FOR A DECISION SUPPORT SYSTEM Brahim Chaib-draa

    E-Print Network [OSTI]

    Kropf, Peter

    manufacturing, and others), nuclear power plant control, communication management and control, shipboard command and control (C2), electric power management, reactive systems such as commercial aircraft control systems, etc, shipboard C2 systems must assure adequate response to external threats while making the most effective use

  3. How can we improve information delivery to support conservation and restoration decisions?

    E-Print Network [OSTI]

    Seavy, Nathaniel E.; Howell, Christine A.

    2010-01-01T23:59:59.000Z

    Synthesis (2005) Stream restoration databases and caseGoodwin P (2007) Stream restoration in the Paci?c Northwest:

  4. Fact Sheet: ES-Select - A Decision Support Tool (October 2012)

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeat PumpRecord ofESPCofConstructionofFYOxideof Energy Clean CoalDNV KEMA The best

  5. Fact Sheet: ES-Select - A Decision Support Tool (October 2012) | Department

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &ofDepartment of Energy On November 5, 2008,Department

  6. The Role of GIS in Decision Support Systems | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNGInternationalTechnology ValidationMilestone TheMinorityTheInnovative SolarThe

  7. Microsoft Word - Improved Interfaces and Decision Support_FINAL_v2.0.doc

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMappingENVIRONMENTALHYDROPOWERFebruary 2004TH/P3-18 1ORIENTATIONB5: A

  8. Climate Rapid Overview and Decision Support (C-ROADS) Simulator | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector GeneralDepartmentAUDITOhioOglesby,Sullivan, MissouriWebsterElectricEnergyProgramme,

  9. Steps to starting a LEGO robotics program Congratulations on your decision to start a robotics program! Whether you are a

    E-Print Network [OSTI]

    Keinan, Alon

    Steps to starting a LEGO robotics program Congratulations on your decision to start a robotics of support as you move through this process. Carnegie Mellon's Robotics Academy has compiled a comprehensive that they are trying to achieve as well as how robotics aligns with their school district's standards. Step by step

  10. Decision Models for Bulk Energy Transportation Networks

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    -mouth generation at Powder River Basin ∑ How much impact would 25% wind penetration have on price ? 2 What is modeled ∑ spatial & temporal ∑ energy flows ∑ nodal prices (fuel & elec) ∑ SO2, allowance price1 Decision Models for Bulk Energy Transportation Networks Electrical Engineering Professor Jim Mc

  11. Combining Decision Procedures for Sorted Theories

    E-Print Network [OSTI]

    Tinelli, Cesare

    setting, nor is it obvious that the method in fact lifts as is to logics with sorts. To bridge this gap decision procedures for logical theories arises in many areas of computer science and artificial to Nelson and Oppen [8]. This method is at the heart of the verification systems cvc [9], argo-lib [6

  12. Proceediigsof the 38' Conferenceon Decision & Control

    E-Print Network [OSTI]

    Ishizaki, Fumio

    Proceediigsof the 38' Conferenceon Decision & Control Phoenix,Arizona USA December 1999 TuAO2 10 Introduction Performance optimization of stochastic discrete event zystems (e.g., queueing syst,ems- formation Systems Inc., Nippon Telegraph and Telephone Corp. (WTT), Nippon Steel Information

  13. DECISION MODELS FOR EMERGENCY RESPONSE PLANNING

    E-Print Network [OSTI]

    Wang, Hai

    widespread applications in civilian sectors, both in private companies and in the nonmilitary government. The majority of Fortune 500 companies have utilized O.R. inside to help them in their decision making, long.R. experience, created its DRAFT #12;own permanent O.R. group within the City's Office of Management and Budget

  14. Implications for decision making: Government perspectives

    SciTech Connect (OSTI)

    Gruenspecht, H. [Dept. of Energy, Washington, DC (United States)

    1992-12-31T23:59:59.000Z

    Implications for decision making in three areas related to policy towards greenhouse gas emissions are discussed from a governmental perspective. The first area involves issues related to the apportionment of risk. The second concerns the standard to be applied in evaluated costs. The third encompasses the international equity issues raised by policies to reduce emissions of greenhouse gases.

  15. Concentric tube support assembly

    SciTech Connect (OSTI)

    Rubio, Mark F.; Glessner, John C.

    2012-09-04T23:59:59.000Z

    An assembly (45) includes a plurality of separate pie-shaped segments (72) forming a disk (70) around a central region (48) for retaining a plurality of tubes (46) in a concentrically spaced apart configuration. Each segment includes a support member (94) radially extending along an upstream face (96) of the segment and a plurality of annularly curved support arms (98) transversely attached to the support member and radially spaced apart from one another away from the central region for receiving respective upstream end portions of the tubes in arc-shaped spaces (100) between the arms. Each segment also includes a radial passageway (102) formed in the support member for receiving a fluid segment portion (106) and a plurality of annular passageways (104) formed in the support arms for receiving respective arm portions (108) of the fluid segment portion from the radial passageway and for conducting the respective arm portions into corresponding annular spaces (47) formed between the tubes retained by the disk.

  16. Crank shaft support assembly

    DOE Patents [OSTI]

    Natkin, Robert J. (Canton, MI); Oltmans, Bret (Stacy, MN); Allison, John E. (Ann Arbor, MI); Heater, Thomas J. (Milford, MI); Hines, Joy Adair (Plymouth, MI); Tappen, Grant K. (Washington, MI); Peiskammer, Dietmar (Rochester, MI)

    2007-10-23T23:59:59.000Z

    A crank shaft support assembly for increasing stiffness and reducing thermal mismatch distortion in a crank shaft bore of an engine comprising different materials. A cylinder block comprises a first material and at least two crank journal inserts are insert-molded into respective crank journal regions of the cylinder block and comprise a second material having greater stiffness and a lower thermal coefficient of expansion that the first material. At least two bearing caps are bolted to the respective crank journal inserts and define, along with the crank journal inserts, at least two crank shaft support rings defining a crank shaft bore coaxially aligned with a crank shaft axis. The bearing caps comprise a material having higher stiffness and a lower thermal coefficient of expansion than the first material and are supported on the respective crank journal inserts independently of any direct connection to the cylinder block.

  17. Making Weighty Decisions: Do Pre-Service Teachers Understand the Impact of Data-Driven Decisions?

    E-Print Network [OSTI]

    Williams, Lauren E.

    2010-07-14T23:59:59.000Z

    that students with emotional and behavioral disabilities (EBD) are in critical need of best practice or evidence based instruction, behavioral interventions, and classroom management strategies selected and implemented with teacher use of data-based decision...

  18. Aerogel-supported filament

    DOE Patents [OSTI]

    Wuest, Craig R. (Danville, CA); Tillotson, Thomas M. (Tracy, CA); Johnson, III, Coleman V. (Dallas, TX)

    1995-01-01T23:59:59.000Z

    The present invention is a thin filament embedded in a low density aerogel for use in radiation detection instruments and incandescent lamps. The aerogel provides a supportive matrix that is thermally and electrically nonconductive, mechanically strong, highly porous, gas-permeable, and transparent to ionizing radiation over short distances. A low density, open-cell aerogel is cast around a fine filament or wire, which allows the wire to be positioned with little or no tension and keeps the wire in place in the event of breakage. The aerogel support reduces the stresses on the wire caused by vibrational, gravitational, electrical, and mechanical forces.

  19. Aerogel-supported filament

    DOE Patents [OSTI]

    Wuest, C.R.; Tillotson, T.M.; Johnson, C.V. III

    1995-05-16T23:59:59.000Z

    The present invention is a thin filament embedded in a low density aerogel for use in radiation detection instruments and incandescent lamps. The aerogel provides a supportive matrix that is thermally and electrically nonconductive, mechanically strong, highly porous, gas-permeable, and transparent to ionizing radiation over short distances. A low density, open-cell aerogel is cast around a fine filament or wire, which allows the wire to be positioned with little or no tension and keeps the wire in place in the event of breakage. The aerogel support reduces the stresses on the wire caused by vibrational, gravitational, electrical, and mechanical forces. 6 Figs.

  20. Respiratory Mechanisms of Support

    E-Print Network [OSTI]

    Kay, Mark A.

    Respiratory Mechanisms of Support Nasal Cannula Hi Flow Nasal Cannula CPAP Continuous positive the respiratory system is working to compensate for a metabolic issue so as to normalize the blood pH. HCO3 - 22 uses PIP Mechanical Ventilation: Volume vs. Pressure: Volume Control Pressure Control Cycle Volume Time

  1. Decision making on the sole basis of statistical likelihood

    E-Print Network [OSTI]

    Giang, Phan H.; Shenoy, Prakash P.

    2005-07-01T23:59:59.000Z

    This paper presents a new axiomatic decision theory for choice under uncertainty. Unlike Bayesian decision theory where uncertainty is represented by a probability function, in our theory, uncertainty is given in the form ...

  2. Essays on household decision making in developing countries

    E-Print Network [OSTI]

    Berry, James W. (James Wesley)

    2009-01-01T23:59:59.000Z

    This dissertation contains three essays on household decision making in the areas of education and health in developing countries. The first chapter explores intra-household decision making in the context of conditional ...

  3. attribute decision making: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    6, UPM Decision Making in MAS, March 2007 2344 12;About this lecture This course Zachmann, Gabriel 5 How brains make decisions Quantum Physics (arXiv) Summary: This chapter,...

  4. applied decision making: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    6, UPM Decision Making in MAS, March 2007 2344 12;About this lecture This course Zachmann, Gabriel 7 How brains make decisions Quantum Physics (arXiv) Summary: This chapter,...

  5. Including model uncertainty in risk-informed decision-making

    E-Print Network [OSTI]

    Reinert, Joshua M

    2005-01-01T23:59:59.000Z

    Model uncertainties can have a significant impact on decisions regarding licensing basis changes. We present a methodology to identify basic events in the risk assessment that have the potential to change the decision and ...

  6. Computer-aided decision making for Medical Device Reporting

    E-Print Network [OSTI]

    Chen, Jih-Horn

    1987-01-01T23:59:59.000Z

    , and answer the questions'- "What to do, How, and When?" MDRSOFT, a computer-aided decision making aid for medical de ricr reporting, attempts to capture dynamic problem- solving knowledge through modeling man processed decision making in the domain...

  7. Informing design decisions : an approach to corporate building design

    E-Print Network [OSTI]

    Maxwell, Marc A

    1985-01-01T23:59:59.000Z

    This thesis is an investigation into design methodologies. How do we, as designers, prepare ourselves for decision making and evaluate our assumptions and decisions? The intent is to employ this information as a basis for ...

  8. How the Koontz Decision May Affect Climate Change Policy

    Broader source: Energy.gov [DOE]

    Please join us for a Sept. 10 webinar to discuss the Supreme Court's controversial decision in Koontz v. St. Johns River Water Management District and explore how the decision may affect the...

  9. A decision making framework for cruise ship design

    E-Print Network [OSTI]

    Katsoufis, George P. (George Paraskevas)

    2006-01-01T23:59:59.000Z

    This thesis develops a new decision making framework for initial cruise ship design. Through review of effectiveness analysis and multi-criteria decision making, a uniform philosophy is created to articulate a framework ...

  10. Perceptually-Driven Decision Theory for Interactive Realistic Rendering

    E-Print Network [OSTI]

    Ferwerda, James A.

    Perceptually-Driven Decision Theory for Interactive Realistic Rendering REYNALD DUMONT, FABIO rendering at interactive rates on commodity graphics hardware. The approach uses efficient perceptual metrics within a decision theoretic framework to optimally order rendering operations, pro- ducing images

  11. Decision making in a non-profit engineering environment

    SciTech Connect (OSTI)

    Christensen, D.C.

    1997-06-01T23:59:59.000Z

    A conceptual management framework is developed and applied in a science and engineering organization located within a non-profit, public institution. The goal of this research is to select a set of projects whose combined contributions to the organization`s strategic interests satisfy sponsor desires and can be completed within existing time and resource constraints. The development of the rationale for project selection and implementation within the plutonium facility at Los Alamos National Laboratory is studied. This includes the integration of prioritization decision tools, optimization techniques, and advanced planning and scheduling tools. The Nuclear Materials Technology Division is the custodian of the plutonium facility, whose mission is to develop, demonstrate, and deploy technologies necessary to address the nation`s and world`s plutonium problems. This includes management of nuclear weapon stockpile components, stabilization of plutonium residues, clean-up of contaminated soils and facilities, support to non-proliferation and arms control initiatives, and the eventual disposition of surplus plutonium. In this study, projects are evaluated against selection criteria deemed to be of critical program importance. The Analytic Hierarchy Process is used to evaluate and rank the importance of the suite of candidate projects. Because individual projects may be of interest to a number of business sectors and sponsors, the approach must be capable of using funding sources in an integrated manner in order to meet overall facility and program strategies. Finally, project planning and scheduling tools are integrated into the decision network in order to ensure that appropriate resource leveling occurs and that the actual project selection takes into account the temporal relationships among available resources.

  12. Michigan Collateral Support Program (Michigan)

    Broader source: Energy.gov [DOE]

    The Michigan Collateral Support Program, supported by the Michigan Growth Fund, aims to supply cash collateral accounts to lenders in order to assist borrowers collateral coverage needs. To...

  13. Public Discourse in Energy Policy Decision-Making: Final Report

    SciTech Connect (OSTI)

    Idaho Citizen; Eileen DeShazo; John Freemuth; Tina Giannini; Troy Hall; Ann Hunter; Jeffrey C. Joe; Michael Louis; Carole Nemnich; Jennie Newman; Steven J. Piet; Stephen Sorensen; Paulina Starkey; Kendelle Vogt; Patrick Wilson

    2010-08-01T23:59:59.000Z

    The ground is littered with projects that failed because of strong public opposition, including natural gas and coal power plants proposed in Idaho over the past several years. This joint project , of the Idaho National Laboratory, Boise State University, Idaho State University and University of Idaho has aimed to add to the tool box to reduce project risk through encouraging the public to engage in more critical thought and be more actively involved in public or social issues. Early in a project, project managers and decision-makers can talk with no one, pro and con stakeholder groups, or members of the public. Experience has shown that talking with no one outside of the project incurs high risk because opposition stakeholders have many means to stop most (if not all) energy projects. Talking with organized stakeholder groups provides some risk reduction from mutual learning, but organized groups tend not to change positions except under conditions of a negotiated settlement. Achieving a negotiated settlement may be impossible. Furthermore, opposition often arises outside pre-existing groups. Standard public polling provides some information but does not reveal underlying motivations, intensity of attitudes, etc. Improved methods are needed that probe deeper into stakeholder (organized groups and members of the public) values and beliefs/heuristics to increase the potential for change of opinions and/or out-of-box solutions. The term ďheuristicsĒ refers to the mental short-cuts, underlying beliefs, and paradigms that everyone uses to filter and interpret information, to interpret what is around us, and to guide our actions and decisions. This document is the final report of a 3-year effort to test different public discourse methods in the subject area of energy policy decision-making. We analyzed 504 mail-in surveys and 80 participants in groups on the Boise State University campus for their preference, financial support, and evaluations of eight attributes for energy conservation and efficiency, fossil fuels, nuclear energy, hydropower, and renewable energy. All participants saw a 7-person diverse energy expert panel. Some participants attended deliberation sessions; some received a 35-page briefing document that included pros and cons of the different energy options.

  14. Property:NEPA Decision | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating Solar Powerstories onFocusOskiPhilipspresentsGeothermalAreaMeanCapacity JumpDecision

  15. Implications for decision making: Auto industry perspectives

    SciTech Connect (OSTI)

    Leonard, S.A. [General Motors Technical Center, Warren, MI (United States)

    1992-12-31T23:59:59.000Z

    Implications for decision making in areas related to policy towards greenhouse gas emissions are discussed from the perspective of the auto industry. Two methods of reducing fuel use are discussed: increasing fuel efficiency of automobiles and reducing vehicle fuel use by other methods. Regulatory and market-driven control of fuel consumption are discussed. It is concluded that the automobile industry would prefer market-driven control of fuel consumption to regulatory control of fuel efficiency.

  16. Computer models for evaluating financial decision alternatives

    E-Print Network [OSTI]

    Christian, James Carroll

    1973-01-01T23:59:59.000Z

    973 Major Subject: Industrial Engineering COMPUTER MODELS FOR EVALUATING FINANCIAL DECISION ALTERNATIVES A Thesis by JAMES CARROLL CHRISTIAN Approved as to style and content by: . '; . . i', , ( (Chairman of Committee) (Head of Depar n... of this research is to bridge this gap by de- veloping the methodology necessary to solve personal finance problems in a quantitative method through the application of engineering economy principles. ACKNOWLEDGEMENTS I would like to express my sincere...

  17. Computer Science and Decision Theory Fred S. Roberts 1

    E-Print Network [OSTI]

    Computer Science and Decision Theory Fred S. Roberts 1 DIMACS Center, Rutgers University, Piscataway, NJ 08854 USA froberts@dimacs.rutgers.edu Abstract This paper reviews applications in computer in the social and decision sciences of newer decision-theoretic methods developed with computer science

  18. Procuring Solar Energy: A Guide for Federal Facility Decision Makers

    E-Print Network [OSTI]

    Procuring Solar Energy: A Guide for Federal Facility Decision Makers SEPTEMBER 2010 Solar Energy: www.ntis.gov/help/ordermethods.aspx PROCURING SOLAR ENERGY: A GUIDE FOR FEDERAL FACILITY DECISION MAKERS #12;September 2010 3 Procuring Solar Energy: A Guide for Federal Facility Decision Makers Blaise

  19. Money Related Decommissioning and Funding Decision Making

    SciTech Connect (OSTI)

    Goodman, Lynne S. [Detroit Edison Company, 6400 N. Dixie Highway, Newport, Michigan 48162 (United States)

    2008-01-15T23:59:59.000Z

    'Money makes the world go round', as the song says. It definitely influences decommissioning decision-making and financial assurance for future decommissioning. This paper will address two money-related decommissioning topics. The first is the evaluation of whether to continue or to halt decommissioning activities at Fermi 1. The second is maintaining adequacy of financial assurance for future decommissioning of operating plants. Decommissioning costs considerable money and costs are often higher than originally estimated. If costs increase significantly and decommissioning is not well funded, decommissioning activities may be deferred. Several decommissioning projects have been deferred when decision-makers determined future spending is preferable than current spending, or when costs have risen significantly. Decommissioning activity timing is being reevaluated for the Fermi 1 project. Assumptions for waste cost-escalation significantly impact the decision being made this year on the Fermi 1 decommissioning project. They also have a major impact on the estimated costs for decommissioning currently operating plants. Adequately funding full decommissioning during plant operation will ensure that the users who receive the benefit pay the full price of the nuclear-generated electricity. Funding throughout operation also will better ensure that money is available following shutdown to allow decommissioning to be conducted without need for additional funds.

  20. Naturalistic Decision Making For Power System Operators

    SciTech Connect (OSTI)

    Greitzer, Frank L.; Podmore, Robin; Robinson, Marck; Ey, Pamela

    2009-06-23T23:59:59.000Z

    Abstract: Motivation -- As indicated by the Blackout of 2003, the North American interconnected electric system is vulnerable to cascading outages and widespread blackouts. Investigations of large scale outages often attribute the causes to the three Tís: Trees, Training and Tools. A systematic approach has been developed to document and understand the mental processes that an expert power system operator uses when making critical decisions. The approach has been developed and refined as part of a capability demonstration of a high-fidelity real-time power system simulator under normal and emergency conditions. To examine naturalistic decision making (NDM) processes, transcripts of operator-to-operator conversations are analyzed to reveal and assess NDM-based performance criteria. Findings/Design -- The results of the study indicate that we can map the Situation Awareness Level of the operators at each point in the scenario. We can also identify clearly what mental models and mental simulations are being performed at different points in the scenario. As a result of this research we expect that we can identify improved training methods and improved analytical and visualization tools for power system operators. Originality/Value -- The research applies for the first time, the concepts of Recognition Primed Decision Making, Situation Awareness Levels and Cognitive Task Analysis to training of electric power system operators. Take away message -- The NDM approach provides an ideal framework for systematic training management and mitigation to accelerate learning in team-based training scenarios with high-fidelity power grid simulators.